{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Use OSMnx to get street networks by place name\n",
    "\n",
    "Author: [Geoff Boeing](https://geoffboeing.com/)\n",
    "\n",
    "  - [Overview of OSMnx](http://geoffboeing.com/2016/11/osmnx-python-street-networks/)\n",
    "  - [GitHub repo](https://github.com/gboeing/osmnx)\n",
    "  - [Examples, demos, tutorials](https://github.com/gboeing/osmnx-examples)\n",
    "  - [Documentation](https://osmnx.readthedocs.io/en/stable/)\n",
    "  - [Journal article/citation](http://geoffboeing.com/publications/osmnx-complex-street-networks/)\n",
    "  \n",
    "Once you've perused the features demo and overview notebooks, this notebook provides further demonstration of querying by place name with OSMnx."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.16.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import osmnx as ox\n",
    "%matplotlib inline\n",
    "ox.config(log_console=True, use_cache=True)\n",
    "ox.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OSMnx lets you download street network data and build topologically corrected multidigraphs, project to UTM and plot the networks, and save the street network as SVGs, GraphML files, .osm files, shapefiles, or geopackages for later use. The street networks are directed and preserve one-way directionality. API responses can be cached locally so OSMnx doesn't have to request the same data from the API multiple times: saving bandwidth, increasing speed, and enabling reproducibility.\n",
    "\n",
    "You can download a street network by providing OSMnx any of the following:\n",
    "  - a bounding box\n",
    "  - a lat-long point plus a distance (either distance along the network, or cardinal)\n",
    "  - an address plus a distance (either distance along the network, or cardinal)\n",
    "  - a place name or list of place names (for OSMnx to automatically geocode and get the boundary of)\n",
    "  - a polygon of the desired street network's boundaries\n",
    "\n",
    "You can also specify several different built-in network types:\n",
    "  - `drive` - get drivable public streets (but not service roads)\n",
    "  - `drive_service` - get drivable streets, including service roads\n",
    "  - `walk` - get all streets and paths that pedestrians can use (this network type ignores one-way directionality)\n",
    "  - `bike` - get all streets and paths that cyclists can use\n",
    "  - `all` - download all non-private OSM streets and paths\n",
    "  - `all_private` - download all OSM streets and paths, including private-access ones\n",
    "\n",
    "Or you can define your own fine-tuned network type using OSMnx's `custom_filter` parameter (to get just highways, or railways, canals, etc).\n",
    "\n",
    "## 1. Query/download place boundaries\n",
    "\n",
    "The `graph_from_place` function uses place boundary geocoding logic to find the network within your place's boundary. Let's look briefly at this place boundary querying before we get to street networks. You can download by cities, neighborhoods, boroughs, counties, states, or countries: anything with geocodable polygon boundaries in OSM's database. Notice the polygon geometries represent political boundaries, not physical/land boundaries. OSMnx will turn your geocoded place (or multiple places) boundaries into a geopandas GeoDataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# neighborhoods or boroughs\n",
    "gdf = ox.geocode_to_gdf('Manhattan, New York, New York, USA')\n",
    "\n",
    "# counties\n",
    "gdf = ox.geocode_to_gdf('Cook County, Illinois, United States')\n",
    "\n",
    "# states\n",
    "gdf = ox.geocode_to_gdf('Iowa')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can also buffer the place boundaries (0.5 km in this example)\n",
    "gdf = ox.geocode_to_gdf('Piedmont, California, USA', buffer_dist=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can get multiple places in a single query\n",
    "gdf = ox.geocode_to_gdf(['United Kingdom', 'Ireland'])\n",
    "\n",
    "# and optionally buffer them\n",
    "places = ['Berkeley, California, USA', \n",
    "          'Oakland, California, USA',\n",
    "          'Piedmont, California, USA',\n",
    "          'Emeryville, California, USA',\n",
    "          'Alameda, Alameda County, CA, USA']\n",
    "gdf = ox.geocode_to_gdf(places, buffer_dist=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `geocode_to_gdf` function takes a `which_result` argument. Its default value `None` makes OSMnx retrieve the first result with geometry type Polygon/MultiPolygon (if one exists on OSM). Alternatively, pass an integer value as `which_result` to retrieve a specific geocoding result, regardless of its geometry type.\n",
    "\n",
    "When querying, be specific and explicit, and sanity check the results. Try passing a dict instead of a string to be more explicit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.027917428303156355"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# oops, this gets the county of alameda rather than the city!\n",
    "alameda1 = ox.geocode_to_gdf('Alameda, California, USA')\n",
    "\n",
    "# this gets the city of alameda\n",
    "alameda2 = ox.geocode_to_gdf({'city'   : 'Alameda',\n",
    "                              'county' : 'Alameda County',\n",
    "                              'state'  : 'California',\n",
    "                              'country': 'USA'})\n",
    "\n",
    "# the city is a very small part of the county\n",
    "alameda1 = ox.project_gdf(alameda1)\n",
    "alameda2 = ox.project_gdf(alameda2)\n",
    "alameda2.area.iloc[0] / alameda1.area.iloc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OSM resolves 'Mexico' to Mexico City (as the first geocoding result) and returns a single point at the center of the city. If we want the boundaries of the country of Mexico, we can 1) specify which_result=None to find the first polygon and hope it's the country, or 2) pass a dict containing a structured query to specify that we want Mexico the country instead of Mexico the city."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shapely.geometry.point.Point"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mexico = ox.geocode_to_gdf('Mexico', which_result=1)\n",
    "type(mexico['geometry'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shapely.geometry.multipolygon.MultiPolygon"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let the geocoder find the first Polygon/MultiPolygon result\n",
    "mexico = ox.geocode_to_gdf('Mexico', which_result=None)\n",
    "type(mexico['geometry'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shapely.geometry.multipolygon.MultiPolygon"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# instead of a string, you can pass a dict containing a structured query for better precision\n",
    "mexico = ox.geocode_to_gdf({'country':'Mexico'})\n",
    "type(mexico['geometry'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# you can pass multiple queries with mixed types (dicts and strings)\n",
    "mx_gt_tx = ox.geocode_to_gdf([{'country':'Mexico'}, 'Guatemala', {'state':'Texas'}])\n",
    "mx_gt_tx = ox.project_gdf(mx_gt_tx)\n",
    "ax = mx_gt_tx.plot(fc='gray', ec='w')\n",
    "_ = ax.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you query 'France', OSM returns the country with all its overseas territories as result 1 and European France alone as result 2. Passing `which_result=2` instead specifically retrieves the 2nd geocoding result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "france = ox.geocode_to_gdf('France', which_result=2)\n",
    "france = ox.project_gdf(france)\n",
    "ax = france.plot(fc='gray', ec='none')\n",
    "_ = ax.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Get street networks by place name\n",
    "\n",
    "This \"by place\" querying logic works the same as the place boundary querying we just saw above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the walking network for piedmont\n",
    "G = ox.graph_from_place('Piedmont, California, USA', network_type='walk')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can also get a network with a buffer distance (meters) around the place\n",
    "G = ox.graph_from_place('Piedmont, California, USA', network_type='walk', buffer_dist=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZwAAAHBCAYAAABdUQ0QAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/d3fzzAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOydeXgThdaH36Zpmu5N971NNwoUkB0RRBBBUBBFEBXlCii2FgEBRfS6ct0VEISLgigXBcUFQVCRRRYXREB26Jbu+76kaZqk3x9jJpmmLeBVr37O+zw+0iaZTNJ2Ts45v/M7Tq2trcjIyMjIyPzeKP7XJyAjIyMj8/dADjgyMjIyMn8IcsCRkZGRkflDkAOOjIyMjMwfghxwZGRkZGT+EOSAIyMjIyPzh6Ds7EY/Pz9ZMy0jIyMjc8lUVVU5dXSbnOHIyMjIyPwhyAFHRkZGRuYPQQ44MjIyMjJ/CHLAkZGRkZH5Q5ADjoyMjIzMH4IccGRkZGRk/hDkgCMjIyMj84cgBxyZ/1fExrqTmqrFx6fTETMRpRICA1W/81nJyMgAOHW2D0ce/JT5K+Ln58Idd0RSXm7go4+KMZvb/zUeOTKQ5GRvDh6s4OjR2j/4LGVk/n8iD37K/K2oqmph5cpsoqLcWb68B+PGBbd7v8RET5Yty5KDjYzMH4QccGT+3+DuriA01FX8urq6hblzT1JXZ+LhhxMc7v/fLLudOjXi1z9YRuZvyqUVumVk/qT4+iqZMiUchUKBwWBm374K8ba6OhP+/ir2768EoE8fH44d+/XZzOjRQcTGegDQpYs7mzcXMG9ePBkZjWzdWvzfvRAZmb8BcsCR+Uui0Sj5xz+iaWw0s3ZtDiaT432CglSUlhoBCA5Wk55e4XinX3jkkQQyMxv4+OP2A8e4cSGYTBZWr9YB4O+vIi1NS2trqxxsZGQuEbmkJvOnx9nZsQeZkhLL8uVZvPlm+8EGwMXF9uvt76+iuLi5w+eoqzOh0+lZtCgBb2/Hz2FDhvizZ48tYFVWGlm2TMeFC42MHBl4Ga9GRubvi5zhyPwpiYxUM25cKGazhdZWJ9zcFPz0Uw3fflsFgNFoQalUYDRamDgxlP79NeTmNmGxtKJQOOHvr+TMmXrxeE5OoFYrMBgsAISGqujVy0vynMeO1fLzz7U8+GAcp0/XsXt3uXjb00+f48EHYzl8uBpvbyV5eU2cOlXH9u0l3HlnBKNHB/HVV2V/wDsjI/PXRZZFy/zp6N7di1tuCeWVVzJparKI3582LYqff67hxIk61GoFS5Z0pbDQwI4dJVx7bRCbNuVTUyOkO8HBrtx4YzDr1uUBoFIpeOihWF56KROLBYYO9Scuzo3MTD2HDlWRmqpl1Sqd+FzDhwdwxRU+LF+ehcV2Clx/fSCjRwczb95pyTkPG+bP5MlhnDhRz2efFYmlPBmZvxudyaLlgCPzp8TZ2YmBAzWo1Qr276/EbG7F2dmJBx+M5fXXszGbW7nnnig+/7yE8nIjCgU8+WQS//pXOkajECHGjAnC1VXB1q0lAFxxhQ/Jyd5s3JjP3XdHsnVrMdOmRWIyQXS0mpUrdRQUGMRz8PZWkpqq5auvyjh+3CY20GiUpKTEsnVrMWfP1hMRoeaee6JZuzaHysoW7rknioyMBvbu7bhnJCPz/xU54Mj8ZVEqnbjuuiC++KIUgOuuC6SmpoUjR2pQKOCBB7SsWCFkJmq1gocfTmDNGp2YYUyYEEJDg1ksj91ySyhlZc306OEjCgCs3HNPFL6+LnzwQSFFRbbAM3lyOCqVExs3Fkjub5VGh4SoeeWVTMlt06ZFcepU7X+lipOR+SsiD37K/GUxmVo5f76e6Gg3AI4fr6VLF6H3YrEIszaDB2sAMBgsPPPMBaZPjyYsTA3A1q0laLXuJCR4AvDJJ8X06uXTrvXN+vV5LF2axXXXBTFuXIj4/Q8/LKS83Ej//hrJ/TduLCA/X09yshfBwVJ7nHffzWPoUH8iI9W/0TshI/PXRw44Mn96dDo9kZHuAFRUGPH3d8Hpl89QGzcWEBSkZtq0KPH+zz+fwfTp0bi7C7/e69fnMX58CCqV8PXbb+fi59exf9q77+YRGekmfq3RKImJcWfy5FCH+3bv7sPMmceZMCGMW26R3r58eTZKpfwnJiNjRf5rkPnTExHhRnGxrcS1f38lKSlaUb68dWsxx45Vk5qqFe/zwgsXmDs3HhCypM8+K+KOO4QSWFOThU2bCnjooTjGjg0iJUVLUpKn+FilEpydhX8nJXkyfXoM69bl8NprWfzzn10k5+bsDCYTrFmTQ26untmztZLbdTr9b/dGyMj8xZEDjsyfnhEj/MnKahS//vnnWrZtK2H69Gj69vUB4NSpeg4cqGDGDCHTMZng+PEa7r9f+DozU4/BYKZXL+H+rq4K/P1VFBYaWL1aJymhTZsWxcaN+YDQM3r11UxMJigububjj4sYOzaI/v01zJkTS3i4mogIoWx29GgtX35ZxoIF8b//myIj8xdEDjgyf2p69PAmJ6eJuXPjmDUrBrVa+JUtKGhi2bIsevb0YdAgobdy+nQ9tbUtPPFEF2bP1hIaqsZkciIhQbCj+eijQmbNimbOnFhcXRU89tg56uoEGbWTk63P6e3tQnW18H2zWXo+Z8/WExfnwbBh/ixfns2iRee4+WZbKS0jo5HNmwuYP18adBYsiMfTUx57k/l7I6vUZP60KBQwfHgge/YICjNPTyX33BNJQ4OZ9evzxPvNnBnN4cNVKJUKhg0L4PXXpbMzd94ZgY+PCwoFbNpUSGWldEbm7rsj+fHHas6fb+DOOyM4cKCC/HyhhGd1EbAfAn3yyUQ++KCQ8+eFrCstTcvKlVLFW1ycOzfeGMLy5dmAUKb75z+TePnlTBoaOrBGkJH5f4CsUpP5y+HkBE8/3YWEBA+x2d/QYGLFCh27d5fxxBNdRFHA2rW5jBwZxJgxwSxbJg02AO+9V8CqVTpWrtQ5BJsePbxoabFw/nwDAEFBrmKwSUjwIDHRk4kTQ/H3t4kMXnwxk+uuCxK/LioyEBfnLjluVpaer78uF/tKJhM8++x5Fi6MRyH/1cn8TZF/9WX+lFx3XSB79lSyeXMBM2dG8+STiaLEOD/fwHPPXeCRRxJR/lKlWro0C73eTLduXp0cFVFeDYL7wI03hrBpUyEAvXp5ERfnTliYmpkzoxk4UMOqVToeeOAkd90VKT7OYLCg15vFTaGffFLMpEnhDs919mw9335bycyZ0YAQdF59NZMHH4z79W+MjMxfGDngyPzp8PJS0qWLF998U0FNjYlvvqng7NkGRo4MEoctTSZ4+eVMHn3UphpbtiyLESMCuPHGYBYvThQzIxDWSD/6aAILFwp7cZRKeOyxRJYuzRLvU17ewvHjtVx1lR87dpSIg54WC5jN0rRp/fo87r7bJsX+/PMSHn3U0fjzxIk6jh+v4Z57hPvW1Zlobm6TgsnI/E2QA47MH0ZyshejRweJjf+OGDXK1rcBuOGGYLZsKWL9+jxOnapj+nTh4t3QYGL9+lwWLbItV9u9u5zevX147jmbxc2kSWHcems4zz+fwalTdSgU8PjjSbz4Yrpo5glCaaykpJmoKHcMBqlaICenSVI2s1igqKhJFCScPl3Pyy9ncPfdkdx9d6TksUeP1nLhQr0YLC0WuTUq8/dEFg3I/Gb4+6u49dYwFAoniW1MRISau+6K5NixWvLzmxg2LIDoaDV5eQZMplbefDNHcpyUFK34+BEjAmhsNHP4cLV4+w03BFNRYRS/Fxio4v77tWzZUsDo0cFiox4gNVXL999XiV5o06ZFkZjozosvZooKtbYIAakLy5ZlifeJjnajVy8ftm0rEe8XHe3G/PnxPPjgKcnjo6PduO22CPbvr5Cc97Bh/oSGqvHxcWHNGulrlpH5/4IsGpD53bnhhmAmTgxj/fo8SbDp18+XRYsSefnlDL76qoyzZ+v57LNijh2rY9UqHXv2lDlkBHYKZVxchBUECgWiSGDHjlKGDw8Q71NebmTp0izmzImTXMjDwtRUVxslxpvff1/Jd99VdxhsQMhennvuAnfeaTuvysoWNBqpO4G/v4rcXL2D5U1ubhMvvZRBQICwpM3K/v2VVFQYueIK7w6f+1JJSdGSlqbl8ce7XPzOMjJ/EuSAI/ObEB/vwZtv5ohlLCsjRgSybl0u06fHkJqqJTVVy003hdKvnzCAmZWlR6NxkTymuNhAcrI3np5K4uI8uPXWMO69N4Zp06K54YZgADZsyCclxXYxb2gwMWfOaRYtSkSjEfooAwZo+O67Ksmx09Mb6dPH96Kvp+1SN73ehKur9M/liit82Lgxn5EjA0Txgj07dpSydWsxTzzRRSwj7t5dLtnTY49GoyQtTcucObFote7t3ic62o3HH+/CRx8VsnKljg8+KGDiREfLHRmZPyPyJJrMr8bTU8mdd0ag1bqJSq+2NDWZOH68VpJl9O7twxVXxIgL0Y4erWHKlHA2bxaO8fXXZbz2WjeKi1t49tnzkov/vHlx7NlTTlGRgbNn65g8OZwPPxQeZzRaeOqp8yxenMiGDXl88005t9wSxttv50nOaf36XGbPFlymNRolM2fG0NhoxtlZyE7sy2ZW2kqtfX2VuLs7U1pqZPnyLBYvTiQjo4FPPy2R9IUKCgy88EIGjz2WKM7g2GdwI0YEkJzsRUsL6PVm/v1vHSYTPPxwAuvX51JebpNxJyR4cMMNISxZckH8XkZGI9dfb5Noy8j8mZEzHJnLxt9fxZw5sdx1VyTvvptHVZWJEyfq2r2vQuEkmTuZMCGUbt28eOSRM9x5p9BEP3SoinPn6klJ0ZKSomXmzBhWrMhBp9MzYUKYRG22erWORx9NFPfk1Na2SGxpAJ57Lp3bbosgKMgVtdrZ4ZwKCgwcPVrD448nMm1aNK++msmqVTpWrNARFeUmeb6OuPXWcNauzQVAr7fw+uvZxMd7cuedEaSlCeUu63GMRos4g6NWK9i4MZ9HH02gd28foqPdef11HatX63j33TwxuL70UoYopwZIS4thyBB/li3LYuhQfxYsiOfFF7sD0EkbVkbmT4UccGQumeBgFfPmxXHzzaGsWJHN6tU6Hnwwji1bbNnN4MEa0tK0zJgRha+vkEBbs4OpUyOorDTy3nsF1NSYJFYvJ07UsXq1cOFdtiyLU6fqeeedPCoqDDz+uM0mxmCw8K9/pbNoUSJarTtffVWGWq1g4EBpH+XVVzMZOTLIoe9i5bvvqsnN1bN/f4UkeykoMDisGrDStrdkn8nU1Jg4fLiG+nozK1fqePvtXB57LFGUSZtMiOddX2/ihx8qmTAhROKY0Jbt20t4+OEEtFp3PDyUBAermD1bi0IBr7ySyX/+k8ctt4Syf38FY8bIWY7Mnx854MhclLAwNfPmxTF2bAhLl2axdm0uarWCp55KYt26XNER+dprA4iKcv+lt1DE008n8f77wgVVq3Vn6FB/vv++Ujzud99VM39+PFOmhIv7a+wZPTqI3r01lJe3SL5vLZ316+fLnDmxFBcb6N/f1+Hxq1bpMBrNDt+38p//FDB6tPRCHRamFp0G2qJQ2CLORx8VOjhD79pVRkNDC0OH+qPXW3j66fOkpcWKTtRGo4WXXkrnpZe6k5Tkw5NPXqAzTp+u55VXMujVy4cvvyzjhRcyWbFCx/79leLtKpWCsDA3kpI6H3iVkfkzIPdwZDokNNSVO+6IJDDQhUWLzklumz8/gSVLbP2VCRNCue66AGbPFiTCDQ0mzp9vpLxcuMOYMcHMn3+Ghx9O5Lnn0gE4cqSaI0eqCQ5WcfXVAQQEuGKxtKJQOBEY6MK+fZUsXZolWTtgz5YtRQDMmROL2dx+XemTT4okfZ62bNokNN0//rhY/J6/v4oJE0KIiHCT3NdeGFBebuTHH2t4+OEEVq3Sif5oO3eWMXu2loMHK39Ru6UzaVIYI0cGYjbDpk35lJQ0ExDQfhZ1++3h5Oc3ceiQIHawWIT1Cx2xebMQ+Fpa5GFSmT8/coYj0y7XXRfI9dcH8+qrmeTmSj/xDxyoYd++cjHY3H57OLW1LTz22DkeeKD94NDaKgShTZsKmDtXau1SWmpky5YiVq/WsWZNDtnZjXz/fRUHD1bi5+fSqYQZICOjAR8fJQsXxjtkSllZesLDO966mZvbRNeuXsycGU1amhZ/fyVjxgTxwQdFFBQ0Se7b1jn68OFqXnstg1mzYsQ1CQCNjWZCQ13Fr7dsKWLlSh1vvaVjxowYXFycWLVK5yBpjohQ4+zsJAabS2XfvkpcXOQ/ZZk/P/JvqUy7xMZ6dNhfCAhQSRaihYW5sW+fYENjMiE2y4VsRbiPwWDG21uJTqdn+/Zi5syJFUUC48eHiP0ehQJ69vTm668rxGNXVDR3eq47d5axeXMhDQ1mFiyIZcgQP8ntX39dxvjxIR08WnjODRvyWblSx7PPZrBxY0G7js45OY2is4CVu+6KwmxuZfz4ULEn9fbbecyapRVfkxWrl1pzcyuVlUbeeCNLEnRuvz2CzZsLOn2t7XHttQESix4ZmT8rcsCRuWx++qmavn1tTfrz5+vp0UPoIezeXSb2RXQ6vdhb2LmzRJyhycrSs3x5tigSOHWqjvHjQ0lN1fLGGz0lMub09Aa6dPHE11c6q9OWrCw9q1freOihs/Tt6ysaa4LQ6xg8WMPgwZp2H1te3uIwPwSOFjTl5S3icbVadxYvTmT37jKWLcuiqMhASkqMeN9nnjnPHXdESmaFrJw9W0dSkifV1SbeeEPYIpqaquXAgUqH+Z9LwWiUZWoyfw3kgCNz2ZSWGiV2/ceO1YiBpbjY1p8oL2/m+usDSUnRMnJkUIfDjDqdng0b8snPb2LzZum+GqPRwqefFnPHHRHibpqLsXx5Nvffr2X06CDmzo1jzpxYDhyoxNPThYUL4yXnDkJv5lJWBhw/Xs3kyeGkpWkZOtSf555LFwUGa9bk0Nhoc5C2WATRwkcfFUrkzQDnzjWQkCAICZqbLbi4OBETo+bEiVpkZP4/I4sGZC5KYWETWq27qEZry9SpkVgsFmbNiuGKK3zQ6RqZNSuGrl09OXCggk8+KcHfX8VVV/mRkqIVhQEAZnMrR49W09xswc9PxfbtwtBlUpInAwf64eHhLM6ZjBkTgEIBu3aVt3se9qxbl8uTT3Zh/vwzkvLY7t1lor/a0aPCBX7z5kLuvTfGwd+sb19fhgzxE3sqJhO88YaOBQviOHWqnqQkT3GPDggB5oknuvDMMzb1WXm50aG/kpurZ8yYYBISPJg0KZwlSwQRxYsvduPllzMpKmpfJdeWyZPD6d7dC6WyQ+sqGZk/FXLAkbko335bxfXXB4kBZ8aMCLp392TWrBh69fJmyZJ08SI5Z06saJ6ZlhbNJ58IAaSy0tjuBL9SCYMG+fHAA1qOHKkVS1A5OY189lkRNTXSGlNqqvaSAk5RkYE5c07x2mvJnDtXz4ULjezaVYbFAitX6pg9WysGnPJyIxUVzfTp48OxY7Ys4/jxWkymVtLStHh7K6mvN+Ps7MSrr2aRnt7I+PEhDB8eKPGO++qrMkmQUigcS3MWC3Tp4oZSGSwq9kCw3bnlllCOHKmRmH52RGOjiSefPM+TTyZe9L4yMn8G5JKazEWZODGMkBChVDRmTBDOzs6sW5fHmjU5vPhiBjNmRIteYS0ttotrdLQHS5cmk5qqZezYIIddMSBkDYcOVXHkSK3Y06mra+HEiTqHYNMew4cHsHBhPHPnxjmIBby8lBw9WsOKFTq6dvWU3KZQOElkzh9/XMywYQG05Ycfqlm5UsePP9awb185y5YJwQZg27YSnNsYGdTWtuDlZTuwxQIuLtIMZNq0KL76qgInJ5g9Wyv2v0AIhldf7X/R1w2CVxvA99/XSI4hI/NnRc5wZNrF31/FrFkxAPTv74OLi4JZs2IICnLlxRczeOABLceP15Kb28SLL2bw8MMJvPdevsRmpaLCyPffV3PgQCWJiR5MmBCKm5v0Cm0yWfjxR9un+VtuCeXcuXrmz48lM7MJJyfYsaOE3FxBotzcbMHVVSEuMfPzc+G99wooKjIwYkQACxbEc/RoDfv2VTBlSjgrVgjZR3a2XpJ5vP9+AVOmRIhL1qzH7ojSUgPR0e6cPi013rR3H4iMVHP99cHU1kpVdUqlguBgFaWlRhYujGfXrrJfrIDKcHdX8OKLyZL+zYEDlZJzvRi7dpWRlqbl1Kn2TUFlZP4syAFHpl0qK41iT0Oh0JKb20hpabNYhjpypJq0NC0rV+owGi0sWXKBlBQtPXvaPmm/+GImt9wSyg03BLNjR6mYGdijVisYPNgPd3cFqaladLpGjh2rpWtXL/buLae4uJlHH03g+eczAKGflJTkKXq3hYa6EhjoQlGRgb17K9i7t4L+/TXMmxdHSYmtF7J9ewkrV/agb19fAE6dqnXwIOvMk+zUqXoGD/Zn0CANP/wgBEil0jab07evD/36aVi7Npc77oigb18f8b1atiyLhx6K5cor/Vm06AxZWbZemF5v4dy5eioqjAweLGRohw9XM3u29qIBZ+TIQHbvFsqLTnIbR+YvgFxSk7koFksrO3eWcd11QaLC69ChKj77TGq9LxhQ5jJ/vs377JNPiklM9GzXvh8Eb7S9eyt49dUsVq3S8cUXZYDgAHDrrWEA1NfbSmt5eU1ERQlqt8mTwzl/vpFx48Ik5bojR6pZujTLwcH6zJkGli/PZvnybKZPj8bX10U0EAUcymNtWbMmB63WXSzd3XZbhOgjN3CgH2vW5NDQYOLNN3Po2dOHYcP8f7lNg5OTgttuO8Lo0cGiPNyKQiG4CeTl2QKR0dgqGR5tj8REW5nw9Ol6xo0L4aGH4hzsemRk/izIAUfmknnhhQzuuSeK3r2Fqfr8fMF6/6GH4sX1yz/8UMs77+TxxBNdxAvm+vW53H9/+w4EHaFSKejSRbigWiy2YdKzZ+uJjhYsZ3x9Xfjuu0qee+4C994bc9Fj2jfvDx+u5o03dBw5Ui0GnbYrCOwHV61s2lRIjx7C6/f2dhHXB7TNjtavzyM4WM2//pVEVJQbr76aKUqlTaZWxo4NEl+nte9ln6WsWZPDvffGOPS97rknSvy3/XPu21dB797eqFQK8vOlDgkyMn8W5IAjc1Hss5NXXsmkWzcvcSWA0WjhuefSGTkySNzCWVlp5JlnLjBjhnDBrKkxkZXVyJw5sSQmerT3FA489FA8339fRUSEmnfeyZX4qTU1WfDwcOb99wu4445ILBbQ6RpJS9Mya1aMuA0zLU1wMnjmmSTAZr7Zq5e32ItJT2/E21sYKm0bNLZvL3Gw6omMVIvOB83NZtFdoKCgidRULdOnR9nd143S0maH3tBXX5Vxxx0R+PurmDgxlG3bBK+0hgapJc6SJRd46KF4MYO0EhEhWPUcPlwlyWbKy1t44YUMzp6Vezkyf07kgCNzUWJiPCQT8++9V0BdXYvke2vW5ODu7ixZF/3JJ0UMGiSUn774oozVq3OIj/cQLW3+9a+uLFwYR0qKlnHjQsSL94wZUWzZUsgHHxRyww0h6PUW8vP19OolrGbOzGykVy8fGhpM4ozLJ58Us3Kl4MW2erWOlSuF/1av1lFbK1W71dWZJEoya0B1d5fW1IqKDOzZU8Hs2VqmThWyoJtuCuXjjwXT0PffLxCHOrdvL2HVKh1fflnGAw/E8MQTXdiwIY/XXxdEC/Pm2YKtQiGo36ZOFYJOcbEQwNavz+OOO2zvn9X888EHbd5z69fncfvtwrkcO1bLgAG+4m0XKwnKyPyvkQOOzEXJztazc2cJ//xnFzEo7N9fyZdflvLPf9p6ODt2lHLuXAO33CKsPM7MbCQmxuYuYDRa2LmzjLfe0uHqquDw4WpefjmL1at1nD1bR0pKDO++25v8fAMZGY2YTLas5OOPixkzJhh/fxU//1wjltva+pW15YYbgtm9W+gLWS/IOp2ebt1s4oatW4uZOzcONzcFCxfGSx5/9mw9K1boOHu2nmnTInByspXeDAYLJ0/Wimo+AH9/F6Kj3Viy5IJYbtu2rQSVypn4eA9SU7XMnh3Lxo357TpcZ2U1SiTORqOFw4erxOwR4PTpOiZNCmP+/HiqqloYNSpIfP8nTQrr9P2QkflfIgccmXax3/0Cgqvy889fIDXVNjei0+l5+eUMFixIEG1rhHUDQsnHaLRgMllISdGSmqpl5MhArr8+iHnz4lm7NlcyCDp8eCBlZUZWrszB1dX2a+nqqhAzkBdeyGD69CjCw91wdVXg5qbg3XfzHdyn7YmKchcVbQaDRXST/uCDQubPj2fQIA35+QaWLctiyZJ03n47j6eeSnLY+nnsWC3dunmxZo1O8v29eyvYtq2YtDQtr7/egzlz4jh4sNqhH/Tjj9VUVrawapWO5cuzqakxoVQ68e23UiXa1q3FXH+9VFSwf3+lqK4DIVvs08ebV1/N5I03dPTo4S3+PMLDhf5WWJiauXOF7HHu3DiJt5yMzP8KOeDIXDImk7D6+JprAsQLt8EgSKKvvz6YESMC8PRUSprfb7+dx+rVOjZsyGfUqEC8vJx5+eVM0W6mVy9vFi1K4MsvS3n33TyOHKkmPt5DzKTWrs3l4YcTmTBByJpefjmT/v01aLXu9OunoajIwLffVjFxonC7Wq0gIcFDDBgtLRY0GtuxZsyIRqEQLs6vvppJcrK3KHgAof/0wgvpvPhiNwc12fPPZ/D667349797MmtWjNhvKS5uxmCwsG1bCTNn/kxenp5586RBcN++Cvr08ZV8r6nJwvHjjv5pe/aUO2Qqn35axO23h4tff/JJqbjl89ChSjHLCQtT8fTTXRg5MpBly7LEDaqXIqqQkfm9cWrtZPjAz89PtqH9m7JiRQ+xsT5ggC8//lgj3ubtrSQ62s1h0LBXLy/8/FRMnXpU4np8ww3BJCZ6smJFlvh9hUKwqSktbRYXqQEEBqqYOTMaJycnie1LYqIH114bJNrIREWpefDBOHJz9ZhMEB7uSllZM87OTmRl6enb15dnnz2PxQJPPpnEs88Ky+K8vZXcf7+Wl17KEI89d24cy5ZJ7f1TU4VVzitXCs83c2Y0KpWCAwcqqKlp4eabQ2lqsqDXm4iJ8WDLlkIyMmxzRr17+xAR4SZ6wwGkpGglNjhjxgh2QfZ+bFYmTAhFoRB6U/bnKWwxtaBUwtKlPZk9+yQATz+dRH29ic2bC7j11nCH1zNuXAjnz9dLzlFG5vegqqqqw6kwefBTpl1On66XDH5a/61SKXjssUQWLz4nWYw2fXoUP/xQzU8/1bJgQQKvvZaFh4eC++/Xsm9fhWRfy+DBGq6+OoA1a3RUV9uOMXlyOP7+Kp5/PoPhwwMYMSKAvXuFvTjp6Y1ce63t/PLyDBiNZvbtq3CY/gfBpHPOnHgyMhp48cV0Hn88iWeeOU9dnYmdO0uYOtXmMqDXC7t67F9Pa6vggp2WpsXLS8nnn5dIAmxrq7Bn58EHYykqamL06CC6dzfw+efFmEyCD9uVV0qtdtp6qn3xRRn//GcXnn3WcdX01q3FDByoYeHCeLZuLSYjo5G1a3O5775o6upM+Pur2LAhj1tuCeWTT4r54otS3N2dKSgwUFVlJDraTXRnACHza2rqeN22jMwfgRxwZC6Lhx6K4/nn0zEYhCZFcrIXN94YwqZNBeIFLienkX//uwc5OU0sWZIu9jNUKgUPPKDl/Pl6XnjBlmFote7cdls4n39eIgaPffsqeO65JDHggOMFe9WqHO6/X8vjj0vXX0dGqsnPN/Dqq5mo1QoMBgvLlmWSmio4I5w+Xc+gQX74+6uorDTyzjt53HdftJjNgCAw+O67as6dq6ex0eKwLycqSrCxmT//jPi9uDh3ZsyIwdnZCYUChzUIbftiABs35vH++31IT9dTVtZMaalBXHd9+HA1hw9XM2lSGDfdFMr69Xm4uSk4fLiOI0eEUpzV/+2HH6p59NEE9u6tYMOGfIk7Q48eXgwapOHYsRqH55eR+SORA47MZVFbaxKDTUqK9peehy14REaqmTo1kuXLdQwe7M/Qof7s31/JyJGB9OrlwxtvZIuPByEzMplaJcewltXOnm2QZDnOztILdkGBgYqKZry8lBI3gltvDRczKutztV1sduFCAzExblRWGsVg4u6uQK8X/m02C+U3+wzMyrRpUajVSod1BllZerKyhO9pte489lii6KGmUCBuC+3Tx4dBg/xobRWk2Pfdd5KZM6NZtUpHWpoWpVJ6vtaS4xtv9GTFimxuvDFEDDjW3s6mTYW8+WYuTzzRhVdeyeCzz0qYMiUcb28XampaeOmlTEaMCJDY6sjI/NHIogGZy8Ld3ZlRo4J4+OEEPvqokA8/tNnH3HNPFNddF8Tzz2dw4kQdq1frCA52Ze3aK2hpsfDqq5mSzGjRogR27Spjw4Z88RiTJ4czaVI4zz+fwTffVEiyhPaWpJ05Uy9p+vfo4UVmpmOfYvZsLf/+ty2DSUz0kJTIrIICK2+9pWP6dOniNIUCFi1K4Nixas6c6Xi4UqNRctddkbz0UoYoFLjjjgjy8vTMnx9LYKArq1YJM0KvvioIKKxB74MPCrn3XkdXBrVawYkTdYweHUR6eoM4k5SVJSjT3N0VVFYaee65C8yapWXEiADGjg3ihx8q+fDDQkpLm/Hzk5VqMv9b5IAj44Cnp1JS7+/d21uc3tdonBkzJohXXskQ50ySk714+OEE9u4tl6yHHjcuhPBwN9aty6V3b1/x+6mpWpKTvXnhhQwKCgSDzbAwNY8+msC5c3WsWiUEhokTw8QhSwB3d8eEvGtXL8nFf+TIILFRn5jowezZWl59tfsvu22kj7UPYAaDhbo6szjFbzIJDtHWYc3QUFcef7wLq1bpOHWqvt3yGAjigilTIlmy5AKhoWpKSppRKCAkRM2yZdno9WZiYz3E99NKTk4jiYkelJcbOX++XjJAC3D33VG8/34BLS2tbNtWwsiRNoeBZcsyWbAggdBQV0wmWLo0i5Urddx993Guvz5EvF9zs8VhuFVG5o9ELqnJOODtrRRlywoF/PRTLW++mSPe7uur5PHHu/DWWzomTgyntLRZovoKDFQxY0Y0e/ZUiBf/3Nwmli1LpqiomXXrciVrpKdOjUCtdhZ7DtbntVhaxf7PPfdE8Z//2IIZgI+PktraFskOnpYWW7lu1KggVqzQoVDA9dcHSexx3NwUxMS4SxRi776bx4IF8bzySiYg+KYtXpzIkSPVdO/uLdnk2R6PPprA2rW5YiAODVVz+nQ599+vZf164dxXr86VvE9W5ZqHh5KGBiHI79tXQWqqtLTm5qagocGE2dyKUgk//VQtrjAwmeCZZy4wd24cBw9WiC7VIDU+PXeunnvvjcJoFKx4vviiRKIanDo1Eh8fJR99VCS6H8jI/JbIAUfGASHgCBc/Hx8l9fUtkttrakykpzfw8svJvPNOHrt32xr7U6aEo9GoJD0ZlUrB7bdHcO5cHVVVJjHYdOvmxfjxIWzZUijpLWi17jzySILkAu/h4SxeBFUqBXPnxqFQIPqatYd1dYDFAjt3lkluGzhQw4gRgQwfHggI8zeff17M0aM1DBsm9J0AsrMbmTQpjBUrsjt9z8LC1Oh0ejHYCO+dCxERaqqqjJIAa6W83Ci6HwQGukpWS3/wQSH3368VhQzWoPrtt5Vce20QX31Vxvz58ZIVBsuWZTFlSjg9e/qIAc6eH3+spl8/X1avziYuzl20JmptFYxDhdKbkSee6MKSJRcchldlZP5b5IAj40BLi4XBg4XhSo1Gibe3EmfnCLy8XPD1FbKfzz8vZfPmQiZNCmPSpDB+/LGa22+PYNu2Eol55MiRgVxxhQ+rVmWj11uYMycWEAQH1dVSwQEI5bnrrgvixIk6yQXYbKfoTU3V8vrrWZjNrcycGSN5vKurM6GhrhQXN5OU5MHAgZp21zVbFWBWQkNdmTIlAldXZ7p29fhlJ00se/eWs3lzIVOmhJOY6CkqyNr6lnl4OFNXJw3MarUTycnevPdeAYmJHgwfHkhrK7zzTp7Ys+nool5ZaeTIkRrmzImlsdEs2gedPl3P2LEhfPVVGbt2lTJ5crikj7Z5cyFxce48/ngX3n47VzKE29LSSmZmI9dc488331SKy+na8t57+dx4Y0i7K8FlZP4b5IAj40BWlp6nnhKyiz59vAkLU3PoUBUNDSb+8Y9o1q61lYW2bCliyZIkxowJYvr0n8XvWwcsDx+uEktUACUlTTz1VBKrV2dTWir91D95cjgeHs4sXZolMQZtS3OzRRQfNDS0EBHhRkGBIMl+9dVMsbR0/nwjzs5IjlVTY2THjlLJzA0IbgHW/lN0tJrNm/vx/PMXxPLU5s2FzJoVI87rmM2IkmuA0tJmh7mbrVtLmDAhlLQ0LTqdnnXrclCpFMyZE8vLLwvvibWPFBjoQu/ePhLnAWtQVKuFx1iXv23bVsy8eXEYDBb69PGmtraFr76yZXBZWXqWLLnAfffF4OOjZOhQfw4eFDK2HTtKmTUrhrIyY4eu0lVVRom5qYzMb4X8WyXTKSqVM6WlLb94f4G9M0WPHsIMzr//nYPZ3MoTT3Rh2bIsrrkmgNhYD157LcOhUf/VV+W4uirFYKNQCDLmXr282Ly5UFSOGQyC9b+1l2SP/bqE3bvLufHGEN56yxYEly3LYuLEUFQqYZbmu+9smUxgoIqJE8Pw81Oxe3eZ6LNmZdAgDQMHapgw4UcmTw5n8OAAVq/WYTBYOHaslp49vTl0qIr//Cefu++OEntbdXUmPDykf065uU0sXy4txZlMFrFcCXDqVB2zZ2vZurWE5GTvdq1uDAYLL76Yyfz58Zw+Xc/58w2S3lOPHl6kpWlxcVHw1lu54nv25ps59O3rw513RnD8eK34/TVrckhLi8XDQ8mRI9UolTBmjCAu2L69hPBwN0lpUEbmt0IOODKd4u7uTFmZ0CdR2Mm60tK0lJUZJY3+JUsu8K9/deXkyVoHaxUrNTUmrrjCG09P7S/HhM8+K8bfXyWRKR84UMGwYf7s2FEKSJeT2fdZioubqalpccgOPv64uF1Tz/Jyo9jfSEvTSgLOAw/EYDBYxCDx4YeFqNUKFi1K5I03sunWzYtPPxVUcw0NJoe5oLaDqZfC/v2VYr+obfBry4oV2ZIB1YQED7KyGjl1qp5Tp+pRKuHhhxMllkBHj9YSFOTK4sUJfP99tSjiWLkym1GjBCGFydTKnj1luLk5M3u2luJig0R4ICPzWyHLomU6xc3NmcZG4RO5yWQhPt6TRYsS2LRJOoMDQj/i0UfP4eysEM022yMjo5FVq3SsWiXsrMnPNzg01bOy9OIqaRB6JtbM5rvvqiVGmJ98UszQof4Ok/2fflrEtGmRRESo6dPHh8hItcP5Wpk7N44ff6ylpaWV2bO1ohmowWDhqafOk5KiJTnZk549ve0ef3kBpls3L0aNCpIEz8vBaLSg15uZMyeWOXNi6drVi8ce6yIaqZpM8NVXpYwfb5NC9++vwc9PxeLF5ygvb2bhwnixjLdrVxmrVul4880csrL0nD5dj8FgYtSoIMn+HhmZ3wo54Mh0iru7M3q9CYUCHnhAy8mTNbzwQka7qisrGzcWUFHRzIwZUR3cw/GK2zZ4gTSreffdfEkv5sCBCtHN2WxuZcuWQu64I0KyHTM3t4nYWHdGjgzEw0PJkCH+4q4eEHbPjBwZyBNPdOGDDwo4cqSaDRvyWbFCx7lzDSxenChenJ955gJVVS3iemlo36qmI8aPD6F7dy+Ki5sICHARN6ZeLm+/ncfy5dksX57Ntm0lPPvsBWbMiBbdsY8ercXd3ZkbbwwiKcmTPn18eO89wTPuhx+qWbMmh0ceSWDIEGm/qW9fH+bOjUOlUv4y13OWhARPZs/WStZay8j8N8gBR6ZTLJZWpkyJYMGCBP7zn3w2bSq6+IOAQ4eqKCszSpaJWWnvE75arSAx0Z0RIwKYOjWClBQtfft6i2sK6upM1NaaxL07R4/WkpTkhbu78CtcXNzMV1+VMn16NB4eNgnZk09ewNdXxcGDlWzaVEhgoG2Fc26unrvuEhwAqqulCrOzZ+tZtSqbBQsSAEEEUVhokJy7sk1Bum2Jzf5+cXEebNlSxKlT9TzzTDpFRU0sXpzosHfH/v1oe3x7rO8LwKuvZvDQQ9LyYXy8FzNnRkvsd0aNCqKuzsTzz2fg7OwkruB+8cVuBAe7smxZFm+8oePs2UaMRgs7dpSyYoWOAwcqRHWhjMx/g9zDkekUqwz4UvH2VtK3ry/h4Wq8vFy4+Wab7xdAWJgrFksrKSlavLyc8fFxoaDAQHOzmYQEDz77rITPPy+hpsbE/ffH8PTTSRQUNHHiRC0bNuSzcGG8qPBasSKbhx6KE6XV6emNmEylzJgRzSefFIvKteZmR+3x6NFBhIermTbtOMHBKu68MwKVyhlnZ6iubuG99wqoqTGxe3cZ48aFUFjYhE6np2tXL1Gd1nazR0fB4/77taxblyv53tGjtZw5U88jjySwbl2uRAI+dmwQsbFCOctiEeZkLJZWMaNycgIXFyeOHavl4MFK9HoLe/ZUMGpUELt2lREQoGLlyiyuuspfHCxVqRQkJnqwa5fwHNbekbOzEzNnRrNzZxmBgSomTRJ27pjNwvM5OUFFhZHjx6sZOTKQ3bvLL+n3QEamPeR9ODK/KQ89FMeePeXk5uqpqTGRlqaVuDCnpmpF6xqFAmbNsu2I0Wrd6dHDW5z/iIhQM3ZsEG++mcegQRqGDPHHYmnl889LSE8X/NJ69/ahWzcvsWwEwrDqlCnhFBc3s317Cfffb3uOOXNiaWgwUVBgkEiJ7Rk4UEN4uFrcRTNvXhw//VRDQ4OJc+fqefDBOJqaTEREuLFqlU50yfb3FxwW7F0XJkwIxWxulezFaYu9szMIvm8dzcjY0/a9XbmyBw89dAa1Whi0XbMmh8hINXfeGYmvrwtLlqS3q/qbPj2akBAVJSXNvPNOnsNskPBzCOHEiRoOH6656HnJ/L3pbB+OXFKT+U35+Wchm6mpES5sLS2tktKQ/ecbi0VaXrNfkQyCG7RSKZTHfvihmldeyeT8+XqeeiqJ5GShVHf8eC3l5UbmzYtj/PgQxowJwsNDyZo1uVRXt3DXXZHicyiVEBSkIjnZk/PnOzbfPHy4muhod7F/s2NHCbfcEoq3txKDwcJLL2WwYoWORx45K2YEIAxrbtqUz4IF8fzjH5E8+mgCxcUGtm8vISlJ6IfMnq2V9Jns3ysr33xTwcKF8Qwd6t/JOy0lMdGDffvKeeyxRJydbf2l/HwDL7yQwddflzJjRhR33x3p8Pzh4SrWrMnh7bcdgw0IP4c338yRg43Mf41cUpP5Tdm7V/ABs0p8d+0q48YbQ9m6tf3SXNsEOze3842UO3eWERPjQXS0O9dcE4DZLJSbDAYz3bt74eKi4Kabgpkz5wwHD1aSkOBGfX0LERFq7rknmn/9S9jlM2FCKDfcECLauhgMZjZsyBPnhjZuzOeuu6J499080tMbeeyxs0yZEiFKmK38/HOtZIVCfr6BV17J5MUXkygtbaF/f1/i491xdlawYoVQ2rIvA7aHVeY8aJCGlBTtL6usWzl0qJpdu2xZ2TffVPDss0k8+eR50tMbGTs2hCefPC8GOvsS2J49lezZU0lgoIqpUyPx8HDm5Mk63NwU+Pq64OrqDLS0f0IyMr8RcoYj87ui0+lF2S4Itjkd9ToAoqOlUty2AcnX14XgYFd0Oj0//1zHqVN1nD5dx8mTdRw4UMnevRW0tMC77/Zh8GA/goPdaGgwcfPNoTz77AX0egsWiyCltq4IWLVKxyefFPHEE0nip//ycqPEWVmvt9Ctm5fktYAweBoU5EpampbevX0YMyaIxx/vwiuvZPPaa1kYDGZ69vQRnQ2MRgulpc34+to+6yUne7W7euGHH6p5991cDAYLX39d4XB7c7MFs7mVkSODiIxUi0KC55/PwGCwMGpUoMNxy8uNrF2by/Ll2QQFqejd24f5889K1HsyMr8XcoYj85vT3sXTyrFjNVx5pcYhU+gIZ2fo39+XyEh3QkNdaWgw8f33lZSWNndozXLoUCXBwa4sXdqdM2dqueIKX5599nynz1NTY+K559KZNi3KYbGalZwcPZMmhXHwYCXHjtmEEJs3F6JSKbjqKj90Oj1ffCFkIRMnhnL+fANr1+YxYkQAEyYImd4HHxRwxx2RFBcb6N7dm/ffL+Dmm0Mwm53w83Ph+PFaNBoXkpK88PBw5t//1nHPPdGkpzeQlqbFbBaystraFurrzfj4KBk+PJAlSy5Izunrr8uZNy+e6mojGzcWOGwt/eCDItFBWzbqlPkjkAOOzG/OkSM1DB6sES1lTKZWVCoFRqOFn3+u5d57Y8SAk5XVSHKyl7hauq2lTXOziaAgFceP1/DJJ5e+rVKvN/PTT7UkJnri5GTh5ZeTSU9vlKi9nJ0FubV1AZz9JlJwlD1bLMKE/syZ0Tg5IZnGNxot7Ntny0Li4tzx9HQRVX5791aIzgd6vYUuXTw4cqRadFJYsaLnLzuGmhk40I/y8maxTDd7tpbvvqskOtpdIhIAmD8/nmuvDeT776sdrIAqK428+mom/v4q/vGPKNzcFBw9WsOhQ1VER7tx3XVBREe7iedvv/FURub3QFapyfwuWNVoI0cGMmCAL83NZvT6ViyWVkJCVJSVtaBQtNLS0orZ3Mq6dYLdTGKiB3FxHmKW0PbrixERoWbixDAaG818/HERU6ZEsHq1jkGDNAwfHsCLL2ZIPs3PmhVDcLCKn36qYefOMmbNihEznP79NYSGuoqqub59ffD0VLJ/fyUzZkRx8mQ9R444OlGDo/IM4IYbgsjM1HPhQgMjRwZSX28SHasnTgwlOFhNQ4NJsgEVBGVdSIiK//ynkOzsRofACIIcfdq0SMxmQeRgVc615YEHovH3d+X06Xo+/7yUu++O5P3381EoFMyerXU4ZxmZy6UzlZqc4cj8Lri5ObF4cSLffFPOc891fBG75ZZQbr45lP/8Ryj5pKc3cu21tm2W6emN4s6ajlCpFEydGoGXl5LS0mZWrMh2KBH98EM1Go0LV1zhIymHeXkpeeaZdPr31/D444kYDLbG+ZEj1ZKtnEeP1pKaqmX//krWrctjxowoFAokaw5UKgULFsTz3nvSoAHC6gSDQbAJ2r27nHnz4nBxceLQoSoxEwoLU7NwYTzHj9eKDf/ly7MZPtyfiAg3hgzxx8PDmSNHqiW7cOrqTKxYoUOtVnD99cFMmBCKxdLKvn0VYvYIsGZNLgsXJpCfb8BotLB5cyF33BHJ2rW5fPRREdOnR0m2tsrI/JbIAUfmd0GlUvDCC+kX7Q188kkxPXt689RTiWzbVsoPP1Tj4SFtAnVkIXPjjUH06OFDTY2JzZvzqa52nDERHg/33huD0WiRZEp33x3JBx8I8ztHjlTTs6cXDQ0m5s2LY926XHENQUesW5fH5MnhDBqkwWhs/cXvTcGyZZntlqZaW8HFxfbali7NYuTIQHE4E6CoyMDLL2cybJhgw2OdBdq3T9rzGjxYIwbD+nozu3aVUlzcjMFgkSgCJ04MpVs3b9E6yGQSRAULF8Zz9Gg1DQ0mfHxcAMHjbuzY4I5fsIzMf4kccGR+Fz7/vJTrrgvqcLjSnrIyI6tW6Rg9OohXXuneoUUMQK9e3vTq5cOAAb6sWZNDXJyneLFuj8hIVx59NJF//zvHwf8tKMiV/HzbhH9jo5nduyuorTVy331amprMFBQ00bevT4fuye15wNkTGKgSrf4PHqxkypQI1qzRiRs8d+8uJyOjgTlzYsnIaBA3k+7fX9npTiD7tQve3kpuuCGYiAg3PvusWByKBcEpYvr0SO67L4o337RlLjk5eoKDhUV1u3eXiRJqo1Guosv8fsgBR+Z34dSpeoYNCyA93Z3rrw/GyYlfZj6UFBUZcXKCoqImtm0rEaXPX31VxldflfHSS1158cVu5OQIfYi+fb1JSdFiNltoajITHKwiLe0UANdcE9DhOUyaFPaLfc3PDrdNmxbF++8XSL6Xl6cnNtaDI0eEAGid0h8wwBZwlEonxowJwsvLhZMnayV7adoyfXoUQUGuHDhQwXffVVNRYeTw4SrGjg3ms89szgPWvTlWxZgVd3dnMYtxchKyE4ulldZW+OKLEjFY1tWZ2LRJCHy33x5Onz6+bN5sC4SurkqyshoZMsRPLMPp9WZR9t3cbMHFRQjyhw5VEBfnLln5LSPzWyEHHJnfjZAQV/r08WHNGh0Wi9Cgf+MNndj0Xrw4gdBQNxISPOjWzZOzZ4WLd0GBgTfe0InlrHvuiWLLliKMRguPPJLAs8/a5L+HDlWJHmIAY8YEER/vgdkM27cXExDgSnsEBKgk/mUAOTlNXHmlhiNHhK/z8w18/30Vo0YFMnq0kK21tgrKutraFoYNCyQiwq1Df7G8vCbefjuPuXPjxGzkyJEaZsyIZty4YI4dq6WwUHoOCoVNovzqq5ltDyneZ/LkcMLD3Vi6NFNStty0qdAhcKnVCnbtKmPevDgx4DQ1mSUGoNZj2O8kkpH5rZEHP2V+N4qKmvn442LxYqZSOUkUVjU1Jlav1rF48VnJeuYff6yhf3+N+PWhQ5Vce20As2drefllqQDh+PFaRozwE21jCgqaWLFCGOYcNSqImBg32nLPPVFs3OjYGE9I8KCgwBYApk6NIDhYzWOPnUehEL42mVpJT2+ktNTIhx8WEhdnG1QNDlZJ3LGtgchotEgk1uvW5ZKfb2D48ACmTLFZ43z6aRFTp0Z2+H5asViEOZt163KYNcux7GYvPB04UGNnN9QiDpyGhqrFgJuToyc8XO1wnIAAFd27O7p9y8j8WuQMR+Z3o+0AqP2FUK1WYDIJ3zAYLKhUtqn+H3+s5t57Y/jhByEryMxsZP78OFatynGQBAuqsSoH2XS3bl5UVraIZTn7c/L1dRFXXFvp319Dz57eomlmRISa1lZbj+aLL8ro1cubiRPDJI/Tat3FjKK62tiuu/b58/V07eolyR5+/rmWn3+u5eabQ+nZ05uTJ+soLm7GYmkVj2d9v5ycoK6uhY0bpSVA69pvb2+l6GQAgnmpdQ6qRw9vUWb93nsFvPRSN7HHY+0tGQyWX6xtBKzzPK2t0LevL2fOyFmPzG+DHHBkfhf699dw6pRtZfKECaF88UWp+PWtt4aJ65pBauJpsdh2ywiL32Kpqmrh5EnpCua5c+PYvr243X7D6NFBLF2a5bAnZubMGNavl64KSE2NoaamReLQ7O9va/ZbOXGijsGDpYaaRUUG0f26I7p182L//uZ2bysqMuDnZ9tU2jaoWElK8mTaNMHbzZ433tCxbFky58414uOj5IUXMjCZLLi7K7nlllBKS5sJD1f/Yoyq5uDByouunIiIUNO9uxcff1xMRIQbGo2yQwWgjMzlIJfUZH4XBg70ldjXRESoJYHB29tFckH383NxOEafPj4sWpTI++/nS9RkIAxD7thR4hBsAgNVzJmjFRVpzs5OPPVUEiBkVa6uThJ35rlz48jMbESplP4pnDhRR79+vmg00s9kbddKW9VmiYkeTJsmuDFbiYxUs3p1T3bvLhezm6FD/Rk2zBa0unXzIju7c8NSgPPnGyTebrbzEdZxr16to7ZWyHiamy3s3l2Op6eSq67SoNMJ71FMjDuZme0/l33AP3++gagodzQaJa+9lsm4caH8619dxWV3MjK/Fvk3SOZPgXUWBITsaNAgDRERbjz3XDqVlVIX49mztXz1VRkZGbaLZ48eXsybF8eoUUG4ujqLZaS6OhPvv5/P7beHM3NmtGQR2vTpUXz0USG7dpUTEqIWt4laEbzVojs9b19fJSkpWuLiPPj00yI8PGwBKj/fwA8/1JCXJ1zwU1O1tLRYGDrUn9RUoeeUnl5PXl77rgBtUamkcnGt1p2FC+PFzHHTpnxWrOjB+vXCa9+8uRCdznbs2toWAgNd0WiULFgQz333xYi3tS1/Ll2axZw58ZhMFjZsyOfLL8tISpL7OTL/HXLAkfnN0WiU1NfbJiaTkjzFT9kgDC3+/HON+HVCggcZGQ3cd18U8+bF4eOj5Pvvq0VLGRD6I4IcWsuePRUSOfLgwRr69NGwdGkW27eXUFsrLf+kpzcSHq6mpaVVMpCpVjuLIoGXXsrg6qsDGDFCKrNub1uoPVVVLaxereOLL8qoqzPR0iIVCGRnN9Kli3ChbmgwUVlpZMmSdFat0rFihY5vv23fGqctgwZpHEqKN94YzMsvZ4o9mbo6E/n5zaKf2l13RYiDrf7+Km64IYTdu8u5++4oXnklk5ISA4mJguhh+/YSbr89XHL8117L5N57tSiVMH58iMMabhmZy0UOODK/ObfcEsaWLbZexIgRgaJJJUCfPr6iTFihgJtuCiUoyBUPD2eWLs1i9+5yLlyolyi+tm4tZsmSbuzfXyFxiU5O9qJbN2+xt3H33ZGsX2/rc1hdCl5/XYdGIy3bZWY2Sspb776bR48e3pf1WsvLm4mIsCm88vObxPXQwnM0EBsrZE4bNuQzYcKvWwMwZIi/xBwUEHf3WJk5M4bVq7PFrz09lWL5cOrUCFFObh3u3LatRLQRys1tomdPb/z9bf2kujoTfn5KHnpIkKJff73sQiDz3yEHHJnfHDc3Z0km0bZcY5VJKxTwz3924fjxGpYsScdg16Y5dKiKAQNs0miDwcLJk7USpVdYmJrRo4NZu1Yok1n37Njb8J8/X0+fPj4YjRa2bSth/vx48bZdu8q44gofybk1NXWe0TQ0mCR9naysRok0OjOzgfh429fFxc2SWaCGhk68ctpBo1GycGG8w4CpRqMkKspN8t46OztJmvsuLgpx1sZsbt9BwD4bKylpZvbsWMnt6emNvP9+PnV1Jry8lERGOsqnZWQuFTngyPzmKBRCn6VHDy/c3RUSKbO/v4q6uhb8/VU8/ngXli7NYs8ex+ViRqNUKg1QXd0iLkDz9FQyfXq0ZDhy4cI4du4slTxm374K0fzz7Nl6NmzIY8GCeO6+OxKlEgcrF2F9ge3ruroWSYCxSpytZGQ0EBNjCzA6nZ6ICGkvyEpSkife3o6N/46YPDmciRPDeeedPHx9lcybF0dKipY5c2KZODGcxx4726FX3aJFCSQkuDNxYhhpaVrJPI29QCArq5E+fXwYOTKQAwcqWb48UxKUt2wp4o47BCHESy9lcNNNoQwcaPsgICNzOcgBR+Y35/XXhf5EWJgbCxcmoNEomTIlHKVSkEPv2VNBSoqWZ565IJkfuRgbNxZw223hKBSwcGE8L7xgcxzw9BRmUYYPD+DOOyMkjzt3ro7Bg4WLZHm5kVdeyeSrr0q57z4tV1zhLdlAWljYJMlYzp2rp3t3W5ntwoVGEhJsF2+93iJuCQXQaFT06OFJSopW/C8gwIWUFC1arbvDBtO2/POfXQDE3sratbmUlwsL1JYuzWL1ah3Ll2ezdm1uu8HG31/FE090Yf36XI4dq+Pdd/NYuVLHyZO2zLChwURgoFA627mzjNGjgxgyxI/jx2uprjaxd285U6fa3sPvv69i5EghaK9cqSMhwcOh1yUjcynIczgyvxtWbzQQZNEzZsTQq5c3I0YEsGjR2V91TJUKbrstlFdfzZT0MO6/P4Zly4TvpaRoxYVvIFxUly1LJienSZyuLy0V/NKGDw+ga1dPTpwQGvLnzzfQrZuXqIA7e7aeO+6IEC1hGhpMuLs7k5jowZAh/ri6OhMTo2bWrBgUCifq6looKmpu11A0LEwtsZNpy9ixQTg7O9GjhxclJc3ExLSfKXVESIgrN94YwpIlF7BYpC7bRqNZHBB9//180tLiWLYsC4DCQgPJyZ6iSenx47X4+rpw330xvPlmDgcPVjJvXpzonLBxYwETJoRyww3Bkt6cjMzFkAOOzB9CQYGBNWtyeOONntx778+MHBnIDTcITWidTs+OHaWUlRmIiFCLyjGndkyjw8PdcHFRUldnG14cPz6EH36oEgNQYWGTOOzYv7+Ga67xZ926XKZNi3RYMHb2bB3DhgWKASc3V89119n28XTr5iUGFiv9+vmSk9PI5s0F7a4hmDUrpt33YMyYIDZtan+wE+C776qIifEgOdmboUNVbNmSzxNPdGHZsqx2M0G1WsG0aVEoFE6oVE5s21YscbV2tqvevftuHgsXJrB/v2AkWljYRI8egvvBvn3lbNiQz+zZWoqKDBQXN7NvXwWZmQ3MmxdHc7OFn3+uYcyYINHRYevWYiZMCBVdpmVkLgV546fMH8Ytt4RSUqLnu++kVv9JSZ6MHBnIFVd4c+JEPZs3F1BebmT06CDy85skqrRZs2L4+edaQkPVbN1azODBGqKj3UW3ZBAa4QsWJNDcbOHChXrR8v+qqzS4uirZu1d6gXzgAS3FxQaGDvXHyckJLy9nfvpJOMezZ+vo1s2L1atzJOdg3QraHh3dbt2C2hnjx4dQVtbM+fP13HFHJE5OkJjoyZw5pzp9XHvceWcEeXlNHDxoG8AdMyYINzdnPvmkmIUL41mxIlvSY1u8OJHnnkuXHEephDvuiKR7dy/+9a90SfCbNy+OpUuzLvvcZP7/0tnGT7mHI/OH4Osr7GypqHD8pH7+fAMrV+r4+ec63norh1GjgkhL0zJkiIYBA3wc7n/4cDU+Pi5MmRJOly5ekmCjUMB992nJydGj15slA6XfflvNddf5S/orKSlCH6egoIm33splw4Y8TCZYvVrH6tU69u+vvOgSOXtUKgU+Pr++cLBtWwlDhvhjMsGqVTreeEPHyy9nODhAXwrvvVfA5MmhEoeAL74oIyREEF74+LiwYEECycm2ntSWLYU8+mgC3t6212AyCZLuRx89y0MP2QQFALt3Cz0gGZlLQS6pyfwh3HNPNLNm/cyYMSGMGiVcoIqKDGzdWiy5oBsMFt57z1Z26t/fttmypqZFbPCfOlXLgw/G8sgjZ8T7TpwYyogRgTz22Flx/uTaawNYsiSJoqJmSksNVFQYHforKSlafvyxRvzaXgTQEf7+Kq65xp/gYLVECNDS4qiuu1yWLctkwYIEXnhBKP8VFBjIzGyUrGG4GP37axg+PIDXXsvmgQdiefllm5qvtNTA3LlxrFmjIz7eU7LwrqqqBScnuO++GJycYM2aHDGjsVhgzRodd94ZIf6MTp2qZ8SIwEtatCcjIwccmd+dxEQPiosNmEzCRLsVrdad++/XolBAdLQbX37peNE6cqSaI0eEIdHAQBULFsT/EkAM/OMfx5k/P57vv6/kqqv82bGjlJaWVkJC1NTUCHMre/ZUEB/vKZa47ror0sFdua0/mr0rQnv4+Sm5/vogDhyocPB4A9rd1NnWzLQzTCZhRmjixFDRaHPXrjLmz4+/pIAzfXoUpaXNvPSSELC+/76KtDQtmzYVUlkpdbSOifFAqRQCTmSkMNf0wgsZWCyCA8SwYQGSn1lxcbPDAG1FhVGy3E1GpiPkkprM70a3bp6MGxfCrFnR1NWZHAZAdTo9q1bpWLlSR35+E4GBrqSmaklL09K7t2MprbzcyHffVVBba2LVqhwAzGYzGo2Kl1/O5OzZerZtKxHnbtqjutoolpQ6orjYMYjYU1Nj5r33CtoNNh3Rp48P335befE7/sKxY7VoNCrJoKVef2lDox4ezhL12KFDVWzcmM+oUYHMnRvHLbfY3A4OHqxkzJgQQPB+s5dbjxwZxBdfCMEmIcGDlBQtqalagoJUokwahNJdQICr5LgyMu0hBxyZ342zZxvw8VFSXW2mudnMzJnRPP10EnPmxDrc17pUzBqAAgNdWbw4UTIjM2FCCEOGBPD997ZP0u+9V4ivr6PTdEfU1poICFB1eh97OXF76PVmSY+jLW0zAOsxL6cXBMIMzpQptnmYs2frmDYtqsP7jx4dhEIhzAotWpRAaKiKhARhnqemRlhDvWxZFhYLEkuf997L59FHE8ShWnusyr8bbghh9Wphsd0TT1zA01MpCTBbtxYTHq6WOBfIyLRFDjgyvyv+/iqWLLnAnj0VvPlmLuXlzWzYkMejjyYwZIiw5TMiQk1ZmXT3zK5dZbz2WiZz58aRkODBww8nkJvbxOLF50hK8hTvV15uxNu784BjH0CEHouiw9vbw2xulVxIs7IaxAs5CFs1n3iii5gBtCd9Pn68Rhw+vRxqa03i+e7fX8mBAxWkpWmZOFGaTQQGqsjObuTxxxOIj/fAYDBz222R3HprmLjl08rWrcUEBbmKZp06nZ7nn89g4sRQiX+dvaz6ww8LueeeKMkx6upMorQdYOfOUjFbkpFpD/nziMzvStv+CEB1tYnnn89g0qQwnn++K62tTjzxhOMgqMFgQaNRMnCgr9iPAHBx+fVN+aIig2R9dXuUlkrngdzcFJIh0zNn6hg7NoQzZ+q5/35BEVde7ihGAMHz7PbbI3FxccLLSymalrZl0qQwtmwpcvi+u7szFrvUSKfTc+KEINW2Eh3txrx5ceh0ej79tIhTp2xrG1QqBTNnRjvIsbdsKWLBAqnibMUKHWlpWtGvLje36Rcn70aKigwSxR8IK7Tt1XNubs40NV2eV5zM3ws54Mj8boSGukqWrLVdWxAY6Mpjj51rt9Q0aJCGq68O4JVXssRlar8FJSXN7S57sycjo4HERE8x4LT1W6uuNhEf78HcucK0vsFgcRAKTJoURliYmro6E2vX5mI0WhgxIqDdQclevbwlr3H+/Hj0ejNOTkJmZA12vr5K7r9fy/ffV7FmTQ4KhTBvlJOjZ+7c0+2+FqPRIslUfH2VPPJIosN8DgjL4eyXwW3fXkJKipaMDMGRobBQurdn2rQodDrb/fv21fDZZ45BU0bGihxwZH43rr02kB07bAqniRPDef/9fPFrhQKHYOPuriA1NZYzZ+okWU1ntJdFdYTRaMHDw5nx40MID3fDyUlYceDpqRT3yGRkNEqyIJXKyeFcPTycefrpC20PD0BampYdO0od1G5791Ywb14cP/5YLVHJ9e+vYeNG2/ui15vFbEmhECxvYmM9cHZ24qWXMsTzWLQokZUrsyXHGjcuBD8/Fe++m4e7uwK93kJmZqPoKtCjhw+ens7tZmN9+viwfHm25HteXs7Mnx9PRkaDmIGFhan5xz+i2LSpQHyN7u4KQkNdJdtUZWTaIgccmd8NX18XiV2+Wq0QrWA8PZUO5Zdx40KIj/fg9dezJSsG2tI2wHTUg9FolAwfHki/fj6SDCQpyYPPPisRF7wNHepPYqIHx44J7gIGgwUXF1uf5z//yWf69GhxDQIg2aTZlro6E336+GAwmCkubpbctnx5Fo88kiCx2PH1dZFM+3fr5imWqlpb4YcfKjEaW0lI8OTJJ5MoLxeOuX59riTY3HNPFIWFBjGgarXumM2trFypY86cWE6dqic52Zvnnktnxowo1q2z7Q2aNi2CqCh30RNOqYSAABV6vVniyA2Cg4G9G0FcnDu33x55yR8QZP6+yAHnT8DAgb4cPlzzvz6N35z2vNCsDBvmz4EDQkknLEzN1KmR7NtXIZn56Ii2AcbdXcGUKeFoNIL6rH9/b5yctNTVtbB/fwWBga4Sq5n779dKso/z5+u59tpAMeC0pabGJBmObA/7ILhhQz5arZpnnkmiqKiJH3+sFWXKFovQXH/tte5kZOhRqZz47DNhLkardeeqq/xobXWitRViY93Izm6id29fjhypJjrajU8+KRJ936xERqq56y5hXXZ6eiPdumkxGCwsX57N3LlxDudZXNyMu7utzjZmTBBZWXrefVcqdkhJ0TpkQt7eSqqqbOW/IUP86N7dmyVL2s/2ZGTskQPOn4DoaHcKC5spKLi03fZ/BYYN8+f4cdsFfOhQf4mcef/+Sv7xj0iuvlrIci710/Hdd0cyYIAPTk5accI/NtaDjRvzKS0VLoQWi9TLrKKimbAwtegUbTJZJG7S5eVGh4b4xWibZSmVgstz9+7eBAaqcHZWMG/eGRoaTA62NCdO1KHT6fnPf/LFMp61bPXFF2Vs3Chc+O0v+J6eSq680l8SbBISPBg7NpiaGpMk4zAaEQdEP/qokDvvDGfr1mImT7atkLYXQQwbFsB779lKelZUKscgO2lSmKjCGzEigIAA10595WRk7JEDzp+A4uJmtFr3/1cBZ8AAjcROpaHBJFlf3KWLB2Fhalau1ImB4FLYurUYDw+l5JP3rFkxYrAB29pna9M/M7ORLl08xeeprW0hMFBFYeGlP29b2mZZXl7OBAa6smdPuUQokZTkSU5OY9uH8+mnxYweHShO/Tc1mcUSnxX7oDZ6dCA7d0pvv+GGEHHFgD32VjvXXhtE9+6efPZZKaGhrrS0CDfq9Wbx55GZ2ciNNwqqO4tFEBZMmxZJ376++PurJIKGQYP8WLcuj169vImMdBdXe8vIXAryHM6fgOzsRkJDXdu97eqrNXh6/rV+TOPHhzjsSTl+vJbevX1QqRTMmxdHeLgbixefu6xgA7Rr019a2iyZyLeqzKxcuNCAVmvbLVNd3UJgoPT9vtgsTmdoNEoCAlzZu7dCDDZqtQKVSkG/fr6SzM5KUZFBsnraxcXx+e3PydlZQUuLtK+1Y0cJjz6aQESEdGDTvpTp7u7MokVnuffeaKKi3MjKEoLfu+/m8cgj8dxzTxRr1+byxhs65swRym81NSZ+/rmOZcuyJCun7747kq+/LmPgQA1XX+0vBxuZy0bOcP4ANBolra10qOApLLRdfBITPRgzJhhPTyW1tS2cPFnHHXdE8eabOb/b+Q0apOGHH9qfD/k1hIe7OXxaB6ivN/HWW71ISTnR7h6ZS6W01CApkWVmNtCli5doNdNWZdZWBNDcbOnUKQDaD0C+vkpGjAgkMNCV/v19AC1OTkL2lp/fhK+vUvwZx8d7EBTkyo4dJUyYEMb69XkMHKhh0CANRmMrKpWTJMgcOFDpIJm2lzPv21fO6NFBYrnN+jqffz6Df/6zC88+K+2hWFV1FRXN9Orl0+4KgbVrcxkwQHif6upMpKc30KuX9y9zPt6sWaPDw0PJ4MEaTp+uJzDQlVdfzWTOnNiLujXIyLTHX+uj81+U5mYLEyeGtXtbdLQbs2bFkJTkzuLFCXTp4sWKFdlUV7ewcqWOAwcqRXPF3wN/f5UkG+iMwYM1Ej80pVKQ7F6MwEAVDz+cwMmTtSxYcIbp06N/7ekCkJXVKJn0T09vJDraTfy6bYBpy/nz9SQkeHb4vvr7q+ja1YPUVME5ICVFy5VX+jJ+fCg//ljNmjU5fP11OR9+KFjxbNiQz+HD1XTp4iV5jkGDNEybFs3p08IgZf/+vixfni2uiW5stAXd48drJautQSrDLi83dmjhs2NHCcOH21Y+b99u69ds2VIk8T2zJz29ES8v2zFPn65Dq7Wdg8UieK0lJHgxdWokS5cKJdLly7MpKzOweHGCxIFhyBA/0b1ARqY95AznEpgwIZStW4svfscO0Ost4sbIiAg1Y8eGEBXlRlGRgaIiA+vW5TB4sD+trTgM4wEOppf/LUlJHpw/L5RWbrophI8+urRhvT59fCWT8ldd5U9srAcLF8ZjMrWKn6LtP5lPnRpBz57ePPywzUlAp9MzeLCmw6n7tnh7K3F2RpRYZ2Q0cNttEezfL7xXRqMFpbJzuxr7r8vLjSiVMGNGFDU1Jvz8VPTv74tSGYvZ3EpdXQvFxc2S6fy6ugh27iwRzyEzU0+XLh58951QQrtwoZ4bbgjh8GHhNZlMgqfac8/ZXre1f2IlPt6d2bMFQcF331VJzvGee6JITPTklltC+eSTzn/3ysubiYqylQzz8w1ERtoC8DffSLMnpVIqGrAycmQgmzYVkJTkSUKCO8nJXpw+Xd9u6WzFihzS0rTicfr08SEuzlMus8l0yt8iwxkxIkDydUf9ko5QqRTtGhteCv7+KmbMiKJfPx/S0rRceaUf77yTR15eE2vX5rJ1azEmE2Rn6zs8r9zcJhITPdq9rSNmzIjq0EhxypRI0ZU5Pt6j3b7IpdCnjw8//VTDyy9nSuZIvv22ilmzonn00QQOH66mtNQo8S/bsaOUq67yd/A06wg3NwXXXWfz7NLrLajVl25vk5zsRZ8+3mLGkpqqpU8fXwIDVWg0SjZsyOPDDwvZu7ecVat0bNxYwIULDZLeSFZWoySDycioJz7elhlWV5sk2QJAdrZUBNI2COp0elas0LFihQ5vbxd8fGyvSa12Zu7cU5w4UUtKipZZs2IYNEgjUZpZMZlaHXpA77yTx913RwLCiocePbyJjnbjqaeS8PS0/WLYCxPKyowsWBBP794+PPTQGbp29WLu3Dj69nV07hYeK/w/MFDFsGEBcrCRuSh/iwwnKcmLvXsrxK9vvjnsoqt+7dm2rZipUyMlg38d4e2t5Oabw4iNdaO01EhdXQsffFCExSKUN6wy2J07S7jpphBxerugoImgIJvx4eHDVQwb5s/+/ZXs2FHCrFla0tMv/ZyTk7148cVkjhypYvNmWwYzbJiwN8a6Y+ZSN0n27evjsM+ltdVJ7P1UVhpJTPQgM7ORIUP86NbNi5SUkwCsXp3NAw9oJX2EFSuyefDBWF55RTpU2B6lpcZ2HZjbkpTkyVVX+aFSOdOvn7c47JmR0cDJk/WSn7lVcnzNNQGMHRtMXZ1JUrJqa2+TkdHI9dcHia+3psaEh8fl/fm0lVLbZzz79lWQlOTlcN+sLL2oyFOrFZw7V8fcuXEYjRb27i3n/PkGioubJQIEELI4+8By6FAVixYl8MormZJeon0Q1Oka+emnanFY1fq7OXx4AHPmxHLyZB2lpc3U1bVQUGDg6NEa5syJRaVSSBSJMjId8f8+4PTs6f2L268TJpPwR9za2r6tSkcYDI4Ow1bUagU33xxKYqInlZVG9Hozn35axLhxoWzfXiyWYLZuLeKWW0LZsEGYdygoMDgopYqLDcTGupOdrefo0VrS0rTiiuPOhihBEBuMHBlEUJAgYzWZLCxceI6EBA/eeKMH58410NQk7I6xXuSHDvXn6NGaS3oPrrzSj5UrbRfsceNC2LPHtgzsww8LeemlbpSXG3nrrRxuuy1CLN1Y7VX699eIgc5gsPDDD1WMHRvEzp2Xty3SmrHYuwf06+dNTo6e994rwGCwcN99MRKhRUKCtE9lvaB/800F110XRLdunhw9apsbais8qKy8uCv15VjsXC5jxgSxZ085p0/Xi+aa06ZF4evr0q7gY9SoILZsEVZv9+njQ//+vpw9W88990Rx8GAVe/aUMXp0MLGxtlKctdfUln37Kti3r4JVq3pw4EAVmzcLxz18uFosIcrIXAr/7wPOkCH+ZGQ00LOntzhJvmtXKTfeGNKukupiKJVw002haLXueHkpyc83sGNHCUajhR9/rBaVUp98UszkyWG8/bZQZqiuNl1UGVVebiQ83I3sbGEK3j4gtu3jREe7cf31wTg7OxEf787u3eX8+986UlO1FBQYxNdWXNzMsWO1rFuXh6enkmXLkvnnPxNoarKQldXIp59e/nsAEBvrLroCKBQwZ04c+/ZV8MUXQvA4cqSaq67yF/ssFksrd94ZLgYcED51z56tdZj1sJKQ4MHw4YE4OcGAAT44OwsBJjOzkZMn6x1mcS5nzbH9rMqePWX07u1DbKw7hw4J52sw2PpuHXGxAGO9vUcPL4YMCSA+3l1ye2dS7LYZXWSkO3v2VEi+9+67eSxYEN9uwLHfDHrsWK3ERWH8+BDuv1/Lrl1lREW5/WKqamLo0AC6d/fCyQlcXZ05dqxGUhk4fbpBDDYyMr+Gv0zA+bUrbJubLRQUNJGU5CX+0WVl6RkzJvgij7QxalQQV1zhzcKFcdTVmdm5s4SPPy4mNVUrltm2by/lH/+wyZcbGkwS+5D2MBotqNUKsf+RldXI0KH+7d63uNjAk08mUlnZAkBUlBuLF5/FZBLMIu2zhIgINVu3Cv0De9v7sDBXtm0rISrKjZUrdYwbF0JamhaNxoUff6zp8IIdHCwNCAqFrRw0dKgfqalaZs06IekFHTsmZGgZGY1MmxbJ3r0VvPJKJtOnR4lBGARL/EcflXqLjRkTRJcuXmRnN/L22zm/NKal7gFtFV2XS1mZMLuTn2/AYhGa/l5el/fn0DZgqFROjBkTREyMcG79+nmjUGjJzW1k9WodDz7ouHjOnvh4N9LShKD6zTfS4LJ5c4Hk98vKnj3lPP54F44du/RMw/6DVmZmI//4RxQKhRPHjtVIslh75RvApk2ObgQyMpfDXybgZGfrmTkz+pL6KPbk5enx8FASFCQtX3VWThs8WMMVV/gSGupKaWkzBw9W8uij57j++iDee882B2GfdQhKKekFqO1z1NWZ0GiUYpltx44Sxo8P5cMPhU+NhYUG/PyE+QZvbyVeXs689lo3srObqK5uoa6uRbwgpKZq21UaZWc3irMVILgaWwNBVJQ727aViBc1a4Yye7aWwsIm8fsmUyvvvJMnBkLrHImVQYM0HD1aw8yZ0VRVGfn++ypMJsc3NDranbFjgyXBRKFwIjTUVWJquX17CVOmhGOxQHi4muBgFYsWnXN8cf8FlZVGgoNVoiNBenoDXbt6ixnp3r0VHUrX2+LtrWTYsAASE90kJps9enjz1VdlYpbX1ossL6+J6Gg3cnOlYoIJE4SMub7eLLng21NXZ5L8fgUGqigvN3L8eK3EQuhysViQfACwZ98+adCzN2KVkfk1/GUCTlGRAbO5td0/2M5oarIpmuz7OCZTqyS7ACGALF3anfffL2LVKmEZlf0FoK3f1sV6QFVVRsnFdevWYiZOtF28i4ubCQoSAoxKpWDChFASE9154okE8vObefPNHG6/PVJsdlsDQlvq683i0GFhoaHDTHD37nLc3RUSl+aRIwP59tsqTp+u/2W4T8XNN4dy550RuLk5YzaDn59S4t4cFuZGnz4+vPVWLjqdnhEjAoiL8xB7C716eTNmTDCff17i0DtZuzaXRYsSeOEFIQgplYJdSr9+Prz4YiYffqinRw8vpkwJv6zyTdtso6amRbwogyACSEryorRUKJllZjZy5ZW2wFxfb8LNTZqRurk5MWFCKGFhaszmVvr2FZRujY1mDh2qICrKzUGIkJ7uaGNjJTOzgbg4D/H3NyzMlblz4/j++yq2bi0mJUWLQgFKpYJ//CMKV1cnPDyU4nvl6gqLFiXQ1GSmurqFoCDXSxJdyMj8WfjLBByA9evzJBery0Gn05Oc7M3PP9eSmOiBn58L110XyPbtNgsWobSiFxuhFwso9ntGAPLzbRsSQQgw9uq2ujoTHh7W4Cf0gvr2FeTSRmMrO3eWUFwsfOJubx7H/nzsn+vTT4vEQHbVVf7iRXDUqCDJcVQqBZMmRfDJJzbVWteunqxYYbto3nKLcBxrgFGrYenSnuK8iIeHkuxsPYsX2zKQjIwG+vbVcOFCI48+Gk9hYbP4M4qP93DIaA4cqGDixFBRav7++4V4eipFB+dTp+rp319zWR8u2mYwgvuAJ+XlQvC9cKG+w9mdxEQPhgzxp29f7zZrDLz49NMScQZLoZBmLNYPL1ba9nT0erNkz05paTPJyd7i7UVFzZLjbd6cz5w5cbS0WNi4MZ+aGhOzZsWIty9dqmPRogRxZ83EiaEkJXly/nzDJb1HMjL/a/5yczhffFHKLbeEXvyOdjg5QWOj6ZfsoQsJCZ689FLGRZdFWU0grRgMZonUdNeuMoYOtdW5d+woYeTIILv729RtCoWg7LIGmBkzYvjppxoOHKhi48Z83nwzh4ICg4OvmqCwE/597FgNgwZpHJ7LPpDZl/ni4z1Ed+EJE0JZtCiBL78s6bQ04uLiJMlmJkwI59ln0/n663K8vFx49908sQRoJT/fwMiRAcyeHcvLL2eKZUGAdevyuOuuKPHr6Gg3xowJJjLSjdWrhRmUykojJ0/WSlRhb7+dx/jxIXREfX0Lvr62n0VmZgOJiTZZcXp6I3FxtuxKr7cQFeXGzJnRpKQI7gEDB/qSmirMIn34YRE//VTH6tU68b/jx+sclqh1RluD0uxsqSNCeblRXKEAoFS2/uIy4YlW605rKyxdmsXKlTrxd9NotODubvuhGo227FSvN1+0LyQj82fiL5XhgGDtfs01AXh7Ky95YFH4o3X+5Q++WTSWbE9qnJ/fRFycO6GhasLCXLn55lAxA/jssxImTAiR+FnZ01a+PHJkIP37CwHGbBbUULt2ObN3b7n4Sfzjj4skZTZ7XzUQgtqNNwpOBz/8UE1qqpYffqh2eC6LRegt6PXt75SPiFBTVWWUNP+1WneJY7JSCeY2Dw8IUDF+fAh+fi4SC3wrw4cH0K+fLxUVBnFR16FD0tr/d99VkpKiRa1WUFJi4LvvqigpaZb0oPburWDOnFiJis1+tXNjo0niVZaToycuzkOUMqenNzJxYhgHD1bSp48P/fppGDjQRxRuODmBj4+SF1/MtyujSjOW5mYzbm4KmpraT23bZjANDdJzslruWN/jzMwGhgyRrmmw/5nt21dJXJw7Wq07CoUTtbUtknKou7sCPz8XHn00UcwQu3TxJDraDVdXBfn5TWzYkH9Zrg0yMv9L/nIBB+CNN7KZNy/+kobNDAYzBQV6rrzSn+Zmi2Qiu7nZgqurguZm2wXmiy9KWLgwgX37Kli+XCcZjGxvFsM+oxg61J/+/X1JS9NiscC331ayc2cZ339fJQ4QFhQ0cfvtEeK2RfvsxEpRkYH4eGGIUqe7NEVddbWRWbNsSq7QUFfJoiwQLohJSV7ivMWYMcH8+9/25bRwtm+32ahERqqJj3fnjTd0jBgh9UxLSPBgwgTBW+zllzMlpSj7i9+wYf4MGeKHyWThxRdtg5/z5sVJLsRjxgR16n+WmdlIQoKXGJB0ugbuuSeafv00Yv+mf38f1GoFZ8/W8/bbOTg7SwNKSopW0rNrS21tCwEBruTnt1/GMxgskhKZsPbASyzBZmQ0MmpUoChTLi5ulmR7AK6uttd4+nQ9Y8eG8OabOq66yp8ePXzo0cM21d/cbGbPnjL69fMTy7KenkomTbJ9QFEohIVycsCR+Svwlww4JpNgdmidxO+MCxcaiI11p7a2BRcXhWTY8uTJWnr29ObIkRrJse1VVW2xDzB9+gizG0uWJFFU1MyRIzVs3lxIYWGTeFE/d65BImfV6y0Ozem2VFYaCQtTk5nZcQMahMnwadMixYn3Xr18xKxv/PhQ1q0TnnPcuBB27Spj9OggUUFlfS32faGgIJUYGKdMCcfDw5m5c88AMHKkcFH39FRy773RlJQYOg34d94ZTlCQmsOHq/jXvzKYM0da+ikuNhAd7cbgwX4EB6vZv7+CL75wPJ5SCVdeKQTy+HhP+vXzBaClRfiw8NZbOXavQSuRTl/uIGZtrdCItwactllVVlaDZBX1hQv13HijzT/tYsOhvr5KvL2VPPJIPHV1QirZ2trK008n8frr2Q4rHaxcc40t2Dc0SMUNFosQxNzdFQwc6EdkpJs4XCwj82fjLxlwQFBcPfxwAgcPVnba3K+vN+Ht7UJLSystLWZUKoWoTrNXsHVEaalBnNfo1s2Lnj29eeiheAwGM+fO1fPQQ2dIS9NK1EqpqVox4BiNFofNie3Jpe2HHy9caOC662wOv9Y+jskkXBRffbU7WVlCbyEsTMXjj19AoZAGQxcXJ7FkFR3txvbtJYwZYzsPd3eFw6d9i0WQ286cGc3nn5eIYggrM2ZE4e7uzBtv6CR9HisKhTD97uPjgre3oK6y3q+tceXp03W89FJ3Hn74jEQY0K2bF9dcE4BCAb17e2M2R3PsWA2vvZbl4B5w330xl+wWIby+zgNQc3OrJAOxrj2wBpQLFxoYPty2iro9exuFwongYBXDhwei0ajQat14+uku6PUWCgubeOedPAchREqKVvx5tsfRozXcfXekGEhcXJxEM84JE0Lp2dOTKVMiOH681kHKLCPzZ+IvG3AA3npLKHl1NLtgT2urUD//6adqbrghWNy02BmRkWpCQtQ89VQSx4/XkpXVyIIFZyQ9l/a4mLtzRYVRss9l69Zibr3V5kpQVtaMj48LTk7QtasXAQEuLF2azLlzjfz8cw0+Pi4OUumbbw4VPyErlY4X+OhoN8lG0UmTIvjoI1vzv08fH3x9lUyaFO6Q4Y0ZE8SVV/qyaFH7C9OET9e+BAYmsmZNDqWlRkaNCiI+3oOzZ4WgZTbbzueGG4Lx91fx9dfl1NYKg6xTpoQTEqImI6NBfG2zZsVc1tzVf2st09raKumxXLgglMisAae83CgRBQQHq+jVS6ps693bC4MhhJ07S8Q+nUajZOzYEMkM16XQo4cXAwZoUKmcCQ5W8dhjCVRVmaisFMqnubl6tm4tpqnJTH5+k/hey8j8WflLB5zqahMVFUa6dfPq9I+ttVW44KlUCsrKjFx5pZ94m30fJzhYxbhxoahUChQKoZeyZo2O++6TZjBtS2IX+5SdlycIEayfYrduLZaU2erqbK4EcXHujBoVTFycO08+mcjhwzX8618ZpKbazuGKK3wdniMsTC0G0VtvDReHOrt1Eyb2b7ghRNKv8fJyFktF3t5K5s+P4/XXdRJvrF69vLnuuiD276/k22+rHYJNYKCKO++MxGi08OWXZZhMreJF9ty5Onr39hV/LiaToNibMSOa8+fr2bEjH6USXnklmZycJj79tIjc3CaJw3Xb2ZqL+cn9t9TWmggLs5VcrSWywEAV114rZCx9+3oza1YMCoUTlZVGsrMbJX2iQYM0mM1IVl4LtkYdl9rCw1Xcd1+MONhptd25cKGe//ynoN1sMju7njFjAsnIaOTChQZuvjlYDjgyf3r+0gEHYPPmQhYtSuj0j62uroWamhaGDvXnxx+r+fHHaiZNCuPrr8vo1cubyZNDf5nmN7JxY75DqeliGYu9szPATz/VSJRDn38uuD1bL0z2rgRarTujRgnmkYIPWhNvvaVj0CB/nJ0Rj2l/Dvbmo4cP1zB0qL/EGywgQCUGhxEjAli5UicKGdoydmwQiYlePPHEOXr18gUEZ+hrrgkkI6NBHCy09k5AmFu54YYQunTx4OGHz1JXZ2LIEH/8/Gy/Tvn5BsaMsUnKKysNPPdcV1asyBZLSiaTIGRYsyZXvKjee6+00f97UlfXInF+8PVVcv31QcTHe4rvZ79+3tTVtYjKQnthBiDJbkAQDlx3XaBEbQfCz2vQIA29evng7GyLnK2toFYreeedjHYDi/1clz0nTzZy772xQA4qlRO9e2u4884WvL1d/rD3T0bmcvnLBxyATz4p4s47IzosWTQ1mUlI8MBgMHPrreF4eTkTEuKKu7uSDz4oZOrUyE7XFeTlSQc6q6ulQ4ZHj9aSmqoVg8MPP1STlmZTDtlLmMPC1Nx4Ywj9+3uTliYYba5bl8Mtt4Sxf3+FeMwzZ+oYNy4UsA4q2pwR7M1HjxypZsWKHp2W+Ly9lTQ2St0FfvyxiocfTuC77ypZtkxQj913n5awMDXnzzeIEmd7Bg3ScOWVfuTl6Vm6NIuhQ/2Jjxea6C0tFurrpZpqJyfo3duHK6/UMHiwH+vX5zr0L959N1+S7bm7K5gyJRyNRkVw8OWtMW69SEXtwoV6XFycuOIKX/r08SE42JVZs7TU1lql1o1kZ+sd3AM2bbKVHjsz3AQhK+rTx0cybwO23UFSkYPAxImhEsGGPSNHBpGRYTsftVrBxImhBAer8fdXsnFjX6qqjGzYkMeFCw2XvTJBRuaP5P/Fb2d6eiPXXhsksTIB4Y9zwoRQBg3yRa83Y7E48d13ldTXm+nRw1tcGHWxDMaaoVj/8D/7rFgibe4MT08lEyeG0b+/D6mpWioqjLzzTh5lZcGcOFErDhZ+/nmJ5JjV1S24uytwdnbCbG7l889tvmtZWXpGjw5m7NggYmM9aG42i43sESMC+PZbYZbDOpczcWIYH39scxfo188HsxmWLcuSfKouKGhqtx82dmwQAwf6cuFCvWSnTXp6PcOGCU30srJmevUSJL0JCR5cd10Qffr4kJ7ewKpVOezYUcKQITZj0sBAFTfeGIJa7cygQb7ip/6qKiP79gnZRNvsoS1tS2z2X6vVCiIiXFmwIJbGRiES+foqufHGED75pKjdCz8gmez/tVRUGB2yjFmzYjq08t+7t5wbbpDOd/n7qxgxIoD+/X1wctKKwbS52Ux+vp6ff67j5Mk6cYunjMxfgf8XAQdg9WodTz+dxPnz9eKnS6PRwo4dJQQEqDhxok4UDrSlvt4sKa20pe2QZWfSZnd3BTffHEbfvsI8jnU/Tnm5gexsvWhDsm1bMffeayvP2K+htqLT6enRQ7DjKSoyMGCALwEBwmvr18+bvXvL2bmzTDIrlJTkJX5Cv/XWMD76qIipUyN/MX+EOXPi+emn2nYvVN99V8WIEQGiJf2dd0YQFOTKN99U8P331eL3FQq4994Y3NycaW0VrtoVFUZ8fIRfp4yMRjIydMyaFSOqpnJzDYwdK2zYnDEjhvBwV/75zws0NJjYvl3NsGEBF22qt5ddWL3YevTwoV8/H5RKoXRoNJo5d66BjAy9WN6ynndnMyttn+NShQhxce4MGKBh165yMWOyp62vnpWwMDXDhwcwfHiAZGNoTY2R/fsrKSxsoqUFhxId4DDjIyPzZ+f/TcABeP75dHx8lJKGLQgXQ19fF/LzmwgJcaWhwSwpv3z2WRE33/zrlGcqlYKbbgohJETFsmXdOXWqns8/L+HEiVrCw91Ey/+dO8tISdGKAcdiuXh5JjjYlWuuEQYnLRZh8NBewZWZKRzLannTdi+Ku7vgFN3aKpTDrr46gFWrdOLgYluOHq3lwQe1JCd7ERTkypo1OaKbcp8+PqhUCoxGC7Nmadm0Ser1JZhfdv7rlJjoweTJEbz2Wib3368Vz6O9ZXRtUasVREe7SbKeAQN8aG2N4ejRalav1jFlSjh79pSLWa5Go+T664PFi/WlvOeXuuPGnjlzYsnPb2L37nLGjw8hJsbd4T7nz9ezcGEcGRnSkmJFRTNfflnWYe+lrMzA9Okx7QYcGZm/Gv+vAo7BYMFgcFzk9eGHhcydG0dBQROurs60tLTi6WnLJoR5is7ncc6eradXL2/OnKnjxhtD6drVk8cfT6C8vIUdO0rYsqWI1FStWBIrLTVy9dXSfSKdlYAAvL2dWbAgnsZGM05OkJ+v59y5RjZsEI4pzMEo0OstHVreNDebxfsIF1hISvIgL0/PSy91PNCq0SiZOjUSNzdn1qzJ4Z57osVgEx3tRs+ePiQkVHHmTAMWS+tFfeja4/z5BknD3Z6DBysYPTqI77+vYsSIQEJD1fTrJ5QhW1sFx4hTp2p57z1bP6WlJZp33skV541KS5sJCXEVA051tUmSNdgTF+fOkCEBkp97ayt07+4pcRVvS9uA1dJiZv/+Ks6eFYL/+vV5PPVUF4dyYFmZgcJCx1KblY4UeCYTYrkxIsKN+Hh3goLUBAW5EBrqSq9e3lgsggpToXBCrVawdWvxZXnAycj8Ufy/CjgdYbEIk+keHkqqqowoFFz0E7U9Y8YEodV60L+/Lz/8UM2uXWXs3Fna7kKsy8HJqZXHHounulpotv/0Uw3R0e6S3tD998eImcW2bSXcfHMY771X0KHljf19lEpYvDiRp54632G5MCFBUJzV1bWwerVOvHjX1LSIi9BKSgy89lqm6GTQtauHGAgaG23HtVhaxZ4TdJ5NqNVO3HKL0Py2WISL5ZVX+hIc7Mq+feXk5xsc9skIcmSbDL2wsInYWA9xJUBmZgO9e/tKBlbbXsgTEz2YNSuGggJBit3Wj2/y5HACA1UOpS8rzc1myVoLFxdnMdhYKS1tP7DYlz47Q6VScNVVfiQlCWak/fr5cN990VRXmygqauLbbytxd3cmKclLlL/LyPwV+FsEHLAN7VVVGbFYhIuTvXTZfjnakCF+9OzpI17cvvlGWJ2cmiq1Tmm7cK0tbVVTdXUtPPFEIhUVwrBjdnYjMTEekotT24tSZmYjPXt689NPNZSXGx128rT3OjUaF+67L4bi4mZef1164fP1VXLNNUIGoVQKs0ZWlZo9mzYVsHBhPM8+Kxh2KhRC8FIonHjqqQvtZjh1dS34+6soK7NdrKOj3Rg2LAAPD6W4AROEMueRI7aV3AAWS4zElqVt+aqoyEB0tLv46V3wV7MFnPx8A2PHqumMjIzGDrMsEJwcAgMdey0g9Oc0GiWLFydQXGzEYmklNtZddKK4GG1/H+wDS9euHjz2WCLV1S2YTK0cOVIt/l6kpmp5803pAGxgoEqSpXt7K7nuusBLGmiWkflf8bcJOB9+WMgLL3Tn44+L8PBw5ty5Bq64wlcMOFu3FvP88105d66BI0dqOpVJd8Q331QwZozNrywzs57nn08iP79ZHCStqmpxsMHpjPp6k8PqY39/FTfdFEJyspcYFH/4oYrhwwMoKGhiwAANH36Yj5ubCykpWgICXMQg5+en5OzZ+k5nNZKTvRg/PlTilWaxwM8/14m7YewJDFRxzTUB9OvnQ2KiJ+XlwsXYzc2J3r192b69mOpqk0PGcjGsfmtWKXVVVTNdu3qKAScrq5HhwwM7O4QDF5NONzaa0Wo9SErywt9fRdeu7ixaFE9trRmDQVADajQqPvnE9j60XdR3MSZNCiMkxJWmJgtHj9awerUOX18l48eHtuuDptebHZYFlpdLfdvq6kyEhnYebGVk/tf8bQKOxSJ8qm5qMhMWpsZgMEsG8OrqTJw509BpoDl3rp4+fXxECXLbhWulpc3Mnx+HVivsQKmuNlJa2nxZAaatmunkyVqmT48iPFyNt7cLvXt7YzRa2Ly5kP37K8R5nGPHalm7thdFRc289VYut90WxnPPZVBUZCA1VdtpFtWWMWOC211F4OmpZOrUCMmsh0LhRHW1kQMHKikuNmCxCGq3X4N1/5DZ3MqIEYEkJHhwzTUB4vtbU2PE29v23G3Vg9bzuVSsfRyrywNAdLSampoW3n03n+LiZrp18yIsTC1R9bXtz7Rd6dCR8KC62shtt4VRWdnCli1Fktva82WzcupUDf36+YqrCzQaJSNHClJ1a8YIEBXldvEXLSPzP+RvE3BAcNr19nahosKIWq247E+E+/ZVkJqqFQPOwYMVvPBCN06erEehEPoebYPWxS7uWVmNJCfbVgZs3VrM9OnRVFcLJUCLBZKTPVmyJIPCQgMajZJx40JpaDDR0GBi9OhgoqPduOOOCPLzDTz99AVAsKWxug209W7rjN69fdBqBTWY/XArQEyMmrfe0nUoGIiN9eh0pklobNt6MBER6l92Gwmf1ENDXRk8WHCD2LWrjC1bTNx1l3Te6WJzMm0v9s7OTvTvr6FPH2HCv29fHzFg5OXpHfo4PXt6ExJiC/jp6fWSVdSXgtXGp61zwE8/VfPww/Hcd9/JSzqOtfwZGammVy9vevYU5pxqa1vYt6+CgADXy/ogISPzv+ZvFXB0ukaiotzIz2+iudmC2dwqsZ+39iDsl5TZ4+6uoGdPb/EPu6nJTEZGoyTAzJoVIzo7t8eZM3X07esjLg776qsyZs+OpVs3b3HGpk8fHx577Kx4sb/22gDCw90oLDRQXW2SbB1NTvbEYAjk+eczJBec8+cb6N3bh+PHa9m2rZi773YUOIwYESA2pkEoN50/X8/cuWd+kT872rj8GnVaUpInV17pR3KyJ4sXJ1JVJZT3ysub+eKLMvH9VqsV3HFHhGSjqHUNdEdYMxprP2TAAOFTv1WI4OTUiosLrFuXg8nERct6ZWXNJCXZNoUKKrHOz6FtlpWZ2UjXrp7itlUrkydH4OysYPToIFEuD0JgGTEiUBIMQRBk7N9fwdatTRIvvY7IyWkkMdHW05KR+bPxtwo4X31VxosvdicnR4+LixPff1/FjTfaJry3bi1h8mSba7OVUaOCSEz0wGCwoNM1dprB2MuVwdZbsQ5A7t9fSVqalrAwN6KjhRJIr15ePPFEkZiBpKZqJZlFba0JX19bvV6hEJyKZ8yIoaTEKJ7/gQMV4sVs9+5y0tK0HD9eS2iomv79fXB2Fs41NtaNJUuS+Pjj4l/Vq7Jn8GBfevfWYLFAVJQr4ESPHt6S++TkNLJlSxGHD1c7lKfsMRgsDkvY2pbI3NwE9whrdhoUJPSpjEYzP/1Uw48/1nQqCrBYWjv9QCAMsEqFGW0Din0WJRxLmlWdPVvPyJGBkoAzfXoUH3xQwKhRwej1ZnELLAiBZd++coKD1R0Gw/Z6TzU1Uoulb76pYMqUCDngyPxp+VsFHIvFZuQZH++BydQquZAbDCb69vUVd+RUVxvZtKmQXbvK2LVLuI+w1VMjDuLl5uolnyrbypWPHaslLU2Lk5PgAqBQCBnMV1+ViZLW1FStpNxlv4MH4OTJOv7xj0jxdjc3BbfdFs5zz6UTEaHmpptC2LKlCGdnJyZPDiU2Vugh9e4tfGIuKGji/PkG8WLm7a3k5pvDJBs37WmvHCS8f7ar3t13R/6SabXyww9VHD1aS7duXkRFufHll2UOjwVBlTdo0KWVpwIDhZ0y3bp5ip/6hXUNnnz2WUm74gUQXAc648yZOnr1smWY3bp5ceWVwgoAKzExl15q1WhU1NW1SL5XXm7E19fmAtC7tw/19SbRLfzgwUoOHnRcHNjWTPRi7N5dzqxZ0RQXN4vnHxioIjVVi8nUyjvv5LX7c5SR+V/xtwo4AJWVQtmspqZF3DVj3SnT0tJKUVFTp5/6Dx6sJDVVKwacL74oZdYsLenptscoFDB4sIY+fXwB6NvXl2+/rRKPm5qqlTgAnz9fL5a/ALZvl874GI0WTKZW4uM9uOIKH2JjPcjJaRRnYQYM8CYgwJULF+o5caJOIqe1/nvixFAxiNmvQ2iPGTOiL6om8/dXsXRplmjdf/RoLeXlzfTs6d3hY9rLYCIjBVsb64Bmly7CjE91tZFvvqmQlNdAKFle7lCjQgH9+wtOzb6+zkRHuzNggDA7k5XVyHvvFUgUYPffH3PJx+5oy6c1OCuVcP31QeKOoc6cDPbvr2D48ECJAs56jKgoV3EtgpOTkPFYLK3ExLizdm0eJSVSGbenp5IHHtCSl6eXpdIyfxr+dgEnP7+JiAg1BQUGKiuNBAWpJJLW228Pd2iWd4ZVKdW/v4b+/X0B6NPHm5Mn68TjpqZqJdlETY2Rq6/248ABQXW0d2+F5D726wt69fLmqqv8iY5WEx6u5uTJWt54I4dhw/zFAObkZAssXbrYpNKnTtWJ2VjbIGaxtEoWfOn1ZtHM1HpRbFvOam42M3duLM3NrezYIWRnwtyP8Gm+srLjOaEePbwYONDPQVlVXGxgx44S8VP9xXosnQ+TKkhIcG9HRdbKyZO1rF0rGHa27U1dLvbn0J5Szp45c+JZscL2ehoaTB1mMQUFBh54wJfgYGmGZTa38vHHxRw7VutgOFpaGkpwsKtDwGloMLF0aRbJyV7MnRtHfX0L69fnXdaGVBmZ35q/XcDZsaOEF17oTkFBCRUVzVRUuEpKZJfiBK1QCBfQoUOFVcj9+vly6lSdGABCQ10ZNsxma/PNN4KaraCg6Zeh00aSk33EgGOP9bhWd2nBbVnHFVcIdvrWZvPVV9ucl+3tbPbsKWPMmGB27CiVZGP2QQwEu5uMjAaHT/f2tP00np7eQHOzRSxHWbFuErVYwM/PRfwkDkKvyWKBQ4cq2bgxHxcXxX+9r8V+eNWe5mYzeXkGPvusuFNF3sWk09Z9Q9HR7lx9dQBdu3p0ev+OjjdmTBA//lgt8a47fryWkSODyM9vws9PRXi4GmdnYeGfyWTmiy9K2/296IitW4uZOzeO5maL6NNnz+nT9Zw+XY9Go2TOHMHeacuWIpKTvQgJ6bifJiPze/C3CzgWi+BrpVYrUCicyMlppH9/XzHgtOfaDEKtf8QIIYiEhroycmQgS5dmA8KFxV7ZVlzcLHHyPXu2nrw8aakuPl74FB4d7cbYsSH06ye4S6enC6KEceNCOH++Xiy9nTpVx5VXRouPt5/XsbezSU9vZOTIoIu+D+npetH9uSMqKpolcuqsrEaGDRPKZ8nJXvTvrxH7XdasIjhYxcsvZ4hNea3WneRk74s+V3tYnZTts6YBA3wk6q229OrlTZcunpckAbd/TL9+vmIfpHt3T+bPj+fChQY+/bQId/dIyf3b9lraK5OpVE4MHCi4R48bF0JoqBpnZyecnQVZs6urAp2ukd27y//rPsuyZVksWBBPaWlOh/2f6moh4+nRw4tFixL44INCLJZW7rsv5r+yZ5KRuRz+dgEHhKDS0mKhtRW6dvVqd3bEOs3v6urM6tU6ioulu2Ls1WlW25tLWfFrW8DmQ1qaIBZ46y0dZ8/609BgErOHHTukO3jM5laamsz4+CiprTWxdWsxU6dGsnZt7iVZ3oDjoOrFKCpqYtq0SFEKrVI5ER3tjkbjQlZWIx98UIBeL71YTp0aiaenCzU1QiM9N1fPddd1HgATEjwYMsQftdqZfv1s0uCKimZ27SqT7DiqqAhn//7yDkueFy40cMcdEezbJ/1+2zUG1izMYmklPb1Bssp5zJggcnObOvx5HjlSzaBBfqKjhD0KBfzjH1FERblz6lQdSqUTFy408MUXpR0agv4WvPJKJosWJfDCCx0btAKcOlXPqVP1LF6cyCuvZNKtm1en95eR+S35WwacbduKueeeaL75puKXi44twKjVzvTo4QmEsWFDgVgOuVTlkBWjURj+8/JSMmGCEGBmzxbkzhs25HH8eC1qtUJUK+3fL5S/rAGnvd5ATo6e5GRvvv22CoNBOH57mM026e/Ro7Z11/ZBzP5TeWioK9dcEyAqq6xS45YWM83NZkkJLCVF22n/o66uhYAAlRhwLBab23Fyshd9+ng79FhycwXZdEPDxe1vMjIaSEryorTUUeUFwgW/Vy/pPEt8vAcXLjRw9Gg1a9bogM5fQ0ODGY3GFsArKpol7g/WhX/u7goGD/bniitsz+fsDJs2FTpI6/8IDhyoYOzYIHbubF8laM+yZZnMnh1LeXn7JqUyMr8Hf8uAY13lGxJidYxuZcKEED74QLjoubsruOOOyA73xnSGp6fyFxdkV5Yt686331azaVMBe/dW0KuXjyjnPXJEWCnQnjy2IyoqWjq0L2lsNItDrPazQIcP29Zdh4er6dFDkBn37esjNu8rK43s3l0uySSsXO4GzNpaE1df7c+11waKvY3AQCGAZWU1cvp05z5u9fUtkmHctly4UM9tt0Vw8mQtI0YEEhQk7eMYDGYqKpodXKbty0adNfmBXxb1CXdSKsHNzfmXdeC2i/OAAb40N5s5cqSalJQTnR/wD+K776q5//5ovLyU1Nd3/rur11vaXSMuI/N78rcMOCAoxax19PT0BgYM0IgBRq+3oFZ3Pl1++HAVw4b5c+RINTfdFEpiojtLliSRlaVn69YiqqtNpKZqxS2WOp2eG25wXCfQGW1tb86cqZOIBewtaz79tIiJE4Ulch4ezlx/va2p3qePIEAoKTHw2GPnfpWR5qViNrei15v48MOidhVRcXGdN+CzsxtJSPASe2r2smmre0D//r4YjRb2768QPzzY0zaDyshwbKbbo1DAgAEakpO9cXFREBrqiouLEz17emMytXL8eG07ppra/0kWczEOH65h/vxYnnrK0QtPRuZ/zd824Hz7bRXXXONPXl4TwcFqyaAe0KF8VKGA8eNDiYhQ07evD/HxHnz+eQmbNhWSmqrtdGvoxTh2rEayMuGrr4TekDXgtLYKGUBAgLBmoaTEwOOPJ4r7X6yZREZGA3PnnrZTnzkGl5oaY6c2PlZCQlRMnx6Fq6sz1dWXJhXPzzd0+P4ZDGY8PZUO2WNSkieDB/uh0bgQH+9Bv36+gDAEay+btr6ei62jtic4WMhk/f1VjBgRIPaJrGXF7t292LatiLffzsViERadDRjg6zAP80eiVIJC0f4Arj1ubgp69vQhOFhFVJQ7rq4KamtN7W6AlZH5X/O3DTjHjtUyblwIgYGulJU1O5RZ7Kf9rdY2IDgD79pVytatxaSlaTuVT5tMrZKp/ZYWqa3KgQMVjBoVxK5dQs3durnTGnDsSUryZPhwwcixWzcvcnKaOHGilrS0k79qtiI7W098vIcYcNoqtaz4+Ch59dUiMUC0zR7a0traKpaj2qJQCEvn5s+Po6zMKHnPs7Ia2bxZECFcLPu6WJC0mo+CoCDr398HX1/BEWDfvgoMBgtnz9aJk//R0W707u0rvo/l5c0SB4q2JCZ60L27J+7uwvzSb4larSAlRYvBIAhbfH1deOWV9ktfyclejBoVyOnTDZw5U8+2baXibfPmxZKV1dhumVRG5n/F3zbggHDhCg11lSwMAxg2zJ+wMDfS0nzJzTXw7beVYlCwx7rCuaML/s6dJYwbFyxOen/5ZSk33RQqfn36dD1XXx0g2ubYk5DgwXXXBdG/vy+pqVp0ukbWrNHRpYsXcXHufP55qeODLoJSCVde6U9ysjdubgoSEz1EN4Tz5+slSi0rs2bFSLKRziblQeglWU1IwRYorY8tKzPQ1NTApk2FHR3ioljdB9pbL+DkJAR6+4ClUEgDmJtbHd26eYsBJze3ibFjQ8Tbm5stuLoqGDbM/xc7ImG6PzbWnawsPTk5jRw6VEVAgIq8PEdp9uVy550REreC1at1Ynaq1bozZUo4mzcLrzkhwYPrrxdUf+npjbz2Wna7x1y6NJunnkriuefSZXsbmT8Nf+uAI/RAXLFYWiksbOKpp7pQUWHk+++rWLGi/T9ke3bvtg1ZgqMTdEGBgfHjbU3t3Nwmxo0LafdYVrn0gAE+gJb8/Cb+/W8d584FUFvbIq5EOH++nuHDA9o9hhWVSsGQIX506SJIXvv398bJSfDXOnrUtknyUvo4bYca7b/29FRy9dV+xMR4/NJoBy8v51/em/JfzrfBYSDx7rulcy1tWbdOut3Sfh6ntRXi4tzIymrqcE102yysbZDMytIzerRjP80awLy8nBkwQMPhw9W89VaO+IHC3ipo5MjADgPOwIEaunf34uDByotK0KdNi+LYsWrJWmx77Ht//ftr6NfPV+Jc0BkvvZTOY48l8uqrmZL3aOpUIcB99VWpGHRlZP4I/tYB56OPCnnkkQTCwtQUFjZ1uIu+I9LTGxk1yjZj0lba3BmBgSrGjw+hXz8fHnxQS0mJkXfeyePIkWo0GhdxUHLfvgrS0mw7eOz7OAaDhWHD/ImKcpccu6XFwuHDVeIx9PooPv64yKFvcrFsxYq3t5JrrgkgNFQtmZPR680cPVolkeGq1QruvLPzgNLeVksQSlVXXeVPYKCK+npbqartPM7lWtMYDBbRiUGpFAQCffp4SxwR1GonkpK8xACWkoL4nltJT2+gRw8vTp2qp6nJjJtb+350+flNnDpVS1paHC+9JMzFjBsXQnS0G2azIJ02GltRqZw4f76hw2BjxcPDWcxyL+f3U6+38PTT50lN1VJcbODYsVpuvz2C//wnj/x8A7fcEsrEieG89lpGh+7ZMjK/JX/rgGMyCTJewXVAcVG57KXQdojU2sdxd1dw881hXHGFDw8+GEtlpbFdufTx47Wkpmo7ncxvbrYwf34c6emNHDpUKWZYHZGdLexJaXsBbUtYmJphw/zx9VWJwah/fx/0ejMHDlSwbVuJQ3lq1KggLBYncUiys/kgK8nJngweHCCx2gHbGoO77or81Qo6hQJ8fJwl9v9BQSrS0mKprzdjNguqs2PH6i7bT+3QoUruuCOC4uJmEhI80GrdUSicHKTtVpcDqzR5zpxYDh6sFN3BQditpFQqHLKz9ti7t1Iys3U5WCywcqWOwYM1zJ0by5w5p8XbPvmkGE9PJYsXd+Hdd/PEVd4yMr8Xf+uAA8IfZE7Or/9DM5ulfRzr/1UqYW9LQICKpUuT+emnGj79tIivvipjyBB/sQ/Rdp1BR+doz6lTdTQ1mdm+/dL6OOnp9QwfHigGnOhoN4YNE/za7I00hUyiXNKUVyi0oqknCNmTvfDh1Klahg4NaHcqvz3rf4CYGDf++c/z/1Vvwd1dwdChAeIqBoBDhyoYPNifigojOTl6du8WgrZarWDgQA3799su2FYVXGeEh6tJTPTEyUlQrnl4KNFq3WhuDsLNzVlcpT1nTizLlzuWYJuaTCxcGMdHHxU7OFwLDg2X9vp/zcxWW777rprGRmEPj71jRkODiWeeucDMmdGoVAo2bMj/VfNnMjKXwt8+4Jw5U0dUlBu5uU20tiKWXi6VPXvKuP76IHHYMjpazUsvdSMzU8/OnSV8+GEhaWk2uXRNjUnSVL8Ufv65RiJzPXeugREjAi/6uMTE/2PvvMPbqu/9/9aRrD0sSx7ylLyT2Fm2sxMnIayEDEhDoYRNMDFhlZZOerktv3u5neRCoZRVUi57ZJCQhAwyyd7D8d7blixrz98fJ+dIRzqSR5wF5/U8fUpsbdvfz/ms95uUjBGJ+CgpUdGqzm1tDqxf3waJhD/gVX5bG9Obp7bWilGjFHQZqK3NCY2G+X5SU0V45pksnDvXzyoOWlamH3SwUSoFKC3VIjU1sPCq10vw6KMGbN7cwXDOBEjpFso5lMLh8CE/X8EIOBR8Pg96vRQ6nRgyGR+pqRIIhQSKihTo7nZCKOShrc2JtWvbGNlIbq4cOTky7NlDBui7707Bhx+2gMcDCgtJu4ieHicaGuxDtlNgI5p192A5edIMm82Lp5/Owssv1zC+99ZbDZBKCSxfng6hkAe324/33muMKOzKwTEcfvABZ9euHjzxRCYaG+1obLRhwQLSzGwgCAK49dZEGAxSTJyoQlqaFFu3dmLt2jaUlxuiCiKGHh5OJ3M3Jdi5EyCvTsvLDYy9imDxzoICBSZPZmYSPB5pqU2NGrPt4gyGiop+jB6tpAPO8eMmzJ+fxOg7UPYMEyeqQBA8iMUE1q9vG1JDOlhep6RECYDMvKxWD/btY5aj5s2LR3u7g1UdGSADTKgAq0BAYNQoBTQaIdTqGBQXK+ldnPZ2J3p6XGhpcWDPnh7YbF48+qgen3/eirg4IeLjhWGlr44OByZNIs3kzp3rx4IFiZg7V4tRoxSorbWit9cNo9ELh2Nk9NP6+71DMmeLRFWVFTt3duFHP9Lhs8+Ye0Y2m4/+vZVKCTz9dBbWr28flEYgB8dg+MEHHIDcjgcAs9mDjAxpxNvdemsCDAYZCIIspW3f3omNGztQXs7U5goNKMFNa4BstgcHmPXr27F4cRK9zEiNS7ORkyPDvHkJSEsTobCQDAQXLrBnEgPBZlscSnW1hX4tUimBqVPjMG+eljHGKxQSiIkB3n67Hh4PaZ2g1YpYA05amhjjx4frqQXL63i9erzzTn3ERnZVlQUTJsTSC7HBxMbGICtLhrw8pi9ObCwfBoMUfX1uVFT04+hRSdQAXF9vQ36+AufP9yM3Vx72/b4+z0XHU5JTp/qQlCTCa6/VDepzHSqfftqMn/yEFGu9VE6eNF8USyUi/s7YbD689FIVVq0ig3Kk4M7BMRS4gBOFkhI1Jk+ORWIimUns3t3NqhAcLJYJhPdcNmxow+LFOnr35MsvW3HHHTp6WotN7ZkKWllZUtx0UyIyM6V45pksVFZa8MYbdUhPl6KoKBaffz5wNka+pvBTMNKQRHy8ELNmaWidsrQ0EVauNMDp9GLv3h4cOtQX9bD2+QC9XoqCAkVY/6ajw4Hq6ujTVg0NNmRnyyMecg0Ndtx1VwqmTo0Dn8+DWh1Dy//397vR2emC0eiJ+hzz5kX8FgCyNzVjhgbnzvXTk2z5+XJMnRpHWzJkZQUuTkwmD/r6PJcl2ABkAJBIRqCudpG2NgemTInFt99G99559dU6/Oxn2WhsrB1SqZmDgw0u4ICUlMnKkqOlxQ6lkk9bD5w61YdXX61Debkhqu305s0dWLRIR0uhhJbEOjpcjD6H0ci8Og4mNVWMBQuSoNOJ8Ktf5eDMmX688UYdSkrU4PNBqxDU19swf/7QtNlCIQjgwQfTIBaTr4UKQH19buze3U2X0UK54Qb2x6OM0aZPV6Onx4WXX65lvYIeSBCUHD9WorLSgowMKVJSyP5NfLwQCQkiEAQPKSliCIU8eL3k7UPl/wfSbIs2Eq7TiZCRIcWNN2qh1Youip4qUV/PtGQIzqBGj1YMOvgPl2+/HbqnUHy8EMuWpQAAnZn7fH6oVALs2zc4pehXX63FY48Zwvo+HBxDhQs4ANLTpdDphGhttaO52YHWVseQDMNCFzrZSmKR1AgoW4SiIiWefDITLS12vPtuIxIThZg0SU33LoJVnylMJjfi44WDki9JSBCivNzAuAKXSnk4fboPe/cOTXNLLidw110p9BACBWWM1tHhREwML2K5JnQQQSDgIT1djORkKfh8HpKSRLjxRnLvp6PDie5uF/x+P06e7EN9vQ0+H3nYsw0BDBY+nweDQYrkZDF4PB4dbP1+oL3dgSNHTBg3ToU33qjHjBka7N0b/lxut4+WLtJowvs8I81A+zpsdHW5WC+WZszQRJQgCsXh8LEOeeTkyJCaKsHOnUMPhBw/TLiAA1IqpbzcAK/Xj4YGO8aNYzpU7tvXg7lztcNyraSgRCsB4I47dBg/Xolnn81Ce7sTn3zSis2byXFpSvamqcmBhQvF0R4Szc125ObK0dXFXhahFinFYj7U6hj84Q9MBWGdToQZMzQA2AMONT4tkzF/TTIzZVizpimiCZpEwkd2dniGIRQSyMqSQSbj48c/1qGrywOJRACfz4f8fDm++KIdTqcXu3Z1Iy5OOOQ9GTZCp9yozGb8eCXWrWvDvn2Dt3MOhQr4y5alYNOmoUsNXU26upzIzw/vTUXC6/XT4/9iMYHHHjOgo8NxSRJFHD88rlrAkcsFWLw4CSpVDEQiAm++2XDV5/8j1d9PnjQPuIzpcPgYTVi/n7mfs25dO156aRSOHevDl1+2Yv36NixenEwPClgs4ePSocMHoVlSVZUFc+dq0dUVGH/m8QLvo7aWaWwWCmWFXViowOTJcfTCJnV/anw61Jtm5UpDxGADkOZz+flyeqk2NVUCiYQPt9uH1lYHmpocyM+X45//bKKzgrIyPSOLGKwKAoVOJ0RpaTxt7V1UpER5uQEWS/iUG0BKygzkGcPn8y6WocjXolbHICdHDpGI/JyysqQYO1aJv/+9NurncS1y4YKF1mQbDDExpFHhwoVJyM6WMfTeoukJcnAEc8UCTkaGBDfemEAfana7F1991Y6uLhcEAuCnP82hZUCuBocPm5CTI4XV6oFYzGeoPAMDT3Rt2NCG228PDAZs387UWevpcaGiwsLwUJHJ2KVRKLxeMIYRvvuuFz/5SQoUihj6AJg4UQmj0Y1PPgmXrgnG6fSyTiUVFMhRVWXB++83DXrKzWh0IT5eCJ+PdNOMiSEgkRBISSEDi8fjg1otgN9P6tUdOGAMO9wLC5WMElSoZlskKH+cvDwpw+Z71Cg5XnzxAn3wD6QTV1trRXY2u/pCaqoYs2drMXq0Aq+8UoidO7sxc6YGvb0unDzZB6eT/JyooHi9BRuKhgY7Ro2S4/z56BNocrkA06bFgccD9u/vpYN3To6M7iO+/no9JxLKMSCXJeBIpQQWLCCl/4OvliMdah4PsH9/D6PRfqU5fNiIyZNjERcnBI8HLFmio9UAgPBJtFA6OlyMnkaozhow8FWg0+lljE9v2dKBhx/Ww+8HhELyQM7Lk+OZZ07Tr+PHP07ByZPmAbPD+nobcnJkYX2Ac+esA5YKdToR9HpyHFypjIFeL8Gvf52DI0f60NrqgNvtR1cXKXpqsZB6MitXGlj7HpEIzWji4gS0D4/P50d2thS1tXa0tZH+OLGxMYzeRFmZnnHwB5eA2KiutuC225IwapSCMeLN4wU8eN5/vxkvvJCHzz9vu2zTZ1eT8+f7kZ8/cMApK9Nj+fKj9GcplRJ4/PFM1NZaWRUWODgicUkBh7KynTBBhalT4wCQmYDT6cXWrZ2sboyR2Lu3F88+m41du7qv2nYz9Qdls3nDyltbtjAn0YZDsEMnQE6DBZugrV/fjuXL0+D1+iGR8EEQPKjVfPz3f9fQV4+rVhkYQa+11YHMTBlaWqJ/1pWVFkyerI7YeObxgPR0CVJTJeDxeNBqhUhMJCfCentdaGtzXJQBsmHHji488ED6kEzQ2CAIcvR8/HgVcnLIvRmqjy2TCfDRR4FR3FDBTrc7egRob3cgI0OKujobrTYdHFgEAiAnR4r//M+qqP46HR2uiMGGKpter1y4YMENNwysWGGzeem/jZtuSkBWlgyrV9fC5fJh+fJUfPFFKzcyzTEohh1wCgqUKCxUIjVVjCNHTFHHhgfL3/9ei1WrMiMaTl0pbDYv1GrmXkxDgx0LFrBbC1DY7V4olQK6VBSqs7Z2bRsefDCdPjjXrWvHihXp6Ovz0J4uBQVK/OxnZ+mMZdUqA6NUQaoMB8p91dUWlJZGtysASKuEhQvFEAh4yMyUITFRBB4PSEkhd2xGjZJh584e9PS44PORem0bNtjo/kUoA5XAKLsCvx+0QvO4cbH09/PzZVixQo/Tp/vohdFgVq40DOkQ6+pyMoL50aMm/OIX2aiosKKry4nNmzvDAsvKlYYBzdxCg018vBDz5sVDrRYiOVmE48cHVga/VtFqhdBoIhvNUQRnn1lZMkapUqGI4YINx6AZdsA5d84MgYCHDz+8tKvcYBwOH06dMqO0VHNJI6/Dxe8HzGY3urtdyMyUDXrkmGL9+nYsWpSE998nP5OtWzuwYEESXfN2uXyQSHi4+25ypJjHI8eV33yzkQ4wVKObIjTAfPVVO6PcRzX+QyEnwqTQaEQQCMi9laIiJTyedLS3O2E0uuH1+vH66/VoaXGgvNyAL78cfPbGNlErFhOYMUOD3Fw5CgvleOaZLNjtPni9fqSni/G731XQwXflSsMlTaF1dztpaR+AFEHNypLRAaelxYHz54cm5x+MQADMnBkQOKUCj8kUUES4//70S5pyu1IkJ4uRkUGOnAOkKytA9hV7e92MQZNQCgsVSE4W0f/mR287cnBEZdgBx+cDTpwY+au7rVs78fOfZ1+VgHPsmAljxyrh9ZLTVIsX6xhSIqGTZ6H09LgYZZuaGlIJ+o47dEhOFsPnA8aOVeFXvzpH9xtCA4zDwcySQgNMa6sjrNzn8XixdGkyLBYPUlIkEIkIeDw+tLQ4YDZ7YLd7sXlzJ5TKGLz5Jrs0ylB6FGq1AKNGyRmTbzweGVAPHuzFtm1dWLIkCceP99GS96RuWeAxQns2ixYlYf369ojf7+11ITFRSH9udXWkGgEVcGpqrFi0KAl79kR+Djao7KuwUAWNJobWKvN6/ThyxIhDh0ysgVEu50MqJdDePrjlycsNpWidni5h7NfMmBGHzz5rxaFDRtZs9b77UrFqVSbjewRBKgzMnKmBwSBlXHQVF8ciNlYQNrnIwTEYrsk9nPffb8Ly5al0pnClOHjQSOuAud2+sCmynTu7cPPNCazyNhR8PjB/fgIyM2Xw+YAJE1TYsKEdX3xBHrzz5ydArQ4cnEYj8yD98stWRpbEFmA0GgFmztQgLU0CtToGUikPAIHKSgstPjlUGhttyMqSMvTPdDoRSku1YQue/f1utLQ4omYPNpvvolzP4KwfKDUBCovFwxCrrK+3IytLRn9O1dVWLFmioyX7zWYPpFLmr3Nw2S8+XojZs0nlAB4PSE4WIT1dDLc7A6dPm/Hmm/UoKwufbJs0KY719d56ayK2b+8a1HsbSaiF1aQkMVJSROjqcsHl8sPv96OlxYH9+3sZFw+FhUpUV0d2Ha2ttWPNmiZG2Za6kKipsSIpSQSlMvC5Hj1qwtNPZ+OFFyoAgB4R5+AYDNdkwGGTvL9SWCxexMUJcf58f5hPTUUFuy3AvHnx9BLdhAkq7NzZRbtglpXp6atwANi8uRNlZQZaJ+zLL9uwfHlAlNFo9DCyJICUjJk1S4OkJBG0WhHU6hjw+cD27V3o6HAiJUWM6dM1OH3aPKz3bDBIkZoqxuLFSTh+PPAYOTlS/Pd/V7GWFQeSp7FaPVAoBv/rFTpVVldnRXa2AocPk0uptbVW3HJLAq20YDZ7whw3JRIepk0jsxU+n4eiooBIqNHowu7dPXTJDQD+8z/zGRmszxd9so0iI0OCSZNUg1IVHy4CAQ9ZWTIkJAQmPXk80tCvocGGvXt7MHq0AmlpEuzYEfkCaCAxAa/XD602Bq2t4ZkaebEjwueft+Lhh9Px9tuNqKmx4sgRE37961z8139VYtu2TixZoqMNBDk4onFNBhyAHFOeOVNzSaZTw8VkckMkItDebqcthYOZOVODceOUAMjDad++HmzbRl7tGgxSjBunwpkzZEDZuJFUgqYOJ5+PeQiwOWQqlXzMmqWBRiNEcrIYCQlCxMQQ+O47I5qa7MjKkmLMGCU6OshDoqUlPAsKhSCAxETmbcrK9ODzeWhutuPDD1tAEATjCr+sTD+kHlYo0aRT7HamYnZDgw25uQHBzpoaK0pL4+mAE1yuFAoJTJ8eh9xcpiJ0eroUBw6Y8Oab9bT8TbQsLDj4AGSJeNKkgO+QUinA6NEyPP54oBzI45H3q6iwIi1NgqamS3PJFIsJZGbKoNEIGYHF7fYhLi4GW7Z0RRzcOHeuf8CBkdBSqVodg4ICJd23cbk80OtlrAGHoq3NiZ4eN+bNi8fmzZ1YsUKPt9+ux+9+l4c//rEK06drIBAAP/lJGpRKAc6d68fevb1YskSHmBjeJU8zcnx/uGYDzv79Rjz9dNYVDThKpQButw/NzXaIxXwYjR7ceGMCBAIepk/XAACKi9U4fNjEcE0Mpq7OhgULAplRc7MD8fEi1ttSSCRksz02Ngbp6RIkJYkhkfBx+rQZX37ZhsREIebOjcf27eThVlNjw803M7OvlhZS5qay0oKiIhWKi9UXRS6FaGlxwev1w273MQYhCII37OnC4IMsOHAEfz/a1XVdnY1he33unBlFRWo64HR0kH4/lCWE3w8UF6uwcqUBbrcPhw8bUVdnDwuQBw8OXheOKrnFxgowd248kpLEyM6WYcKEWADktOLZs/344ou2sMCblibBtGlx+PjjwUm7pKSIkZ4eaNwDZKZUWWlBdbWV1XMmJUWMjAwJamsH5yvE45GvKy0t0MdJS6Pki0iMRhf27u2hf36k+jXzgsdsdod576xd24b77kvD9OkaSKV8dHS48NJLVXj44Qyo1QI8/LAea9e2oqPDhYkTVbj33lRs2TK01QiO7z/XbMAByEmk4FHXy83DD2fglVdqMHWqBna7F16vH16vDzNmaPDKK+TBNnmyCSLR4LbiKUJ3Nbq6nLjjjiTY7T4YDDKkpUlQW2tFRYUFGze2Q6USYPHi5Ihq02yP2dvrxpIlSejv9+LMGTPrVb5OJ8KcOfH0AMJAy6yffRa5ZNTTE5gSu/feNHz1VRvmzUvAhx+SvjwDlXLq6qyYNEmNY8f6IJcLMHasCkuWJEKnI/XjeDxSgfnrrzvonlloxjJtmobxmKGj2gMNDYjFPKxcaUB/vxu7drGrY996awK0WlFYwGlqsqOoSIUvv2yj+x+hB75GE4OeHjf8fj9aWx04eLCXUa7z++Nw5Igp4sBGS4sD06fHhQUcPp+HjAwJdDqyj0MFFL/fj8ZGO6OPk5cnw5Ejxoi7bcePm3DffWkMAc79+3sxY4YWX3/djoSEwBGxZk0TbropAdnZcsyYocbevUbWDPLYsT5WBQcOjms64Lz/fjOrHe7lQKcToa/PDY+HvMJLShKjrs6G7m4+4yA7eJB039y7N/I4bPAos1odA5mMjwceSEdCghASCYHmZgeys6X44INWbNnSCaGQwPLlaTh/npzSMpk8YQMLoX2F0HHpjg4HYmIQtYQU2hs7fpwsIQUrUAcTuqMycaIKtbVWmEweegy5rc15UcdMi08/bcWoUQp6N8UfdJKaTC56yTUnR4bbbktEcrIYiYliOBykz87Bg31hGUtlZaDhPVR9tYEwmTx0gIyExRK+kwUACQkiuN2kM2hHhwNtbc6wAz+SyjRFQ4MdGRlS1NezZzAiEQG9XgKCoAIK+XVSZNaGfft6MXasKupzkIMwWmzdyt7ncTh8IAge7rorGWo1mYmnporgcvmg04lBEIHfQ4GAnCLdurUTzzyThdRUKU6c6OPM2TgGzTUdcABy1DaaM+FI8ZOfpOEvfyEXTs+e7ceYMUoQhAsWizfsaj3adrlIRKClxY7//u9RaG93QaUSwO/3g8/nobHRji1bOtHV5cKqVQa6yU8Jf0Z7jtCl0j17uvFf/5WP2lqyzGa1emGz+aLuVIRy9KgRK1bo6YATutsSilTKR1aWDEeP9qG21oo//CEfY8eq8Pe/19HTY1SwsVq9iI8X0u8lNVWC557LQlOTA3V1Nvztb7Vh6gGhpmgDLZeGBqChBqT6ehvy8uQ4eTLysEVKihgymQAEwbQw6Ox0orHRibffbmD48AyFlhY7pk2LQ2enEzk5MigUTIkdp9OH3l5P1LLyQFnqmTP9mDmT7PMIBMDUqRoUFCgZz9PfT+7iUME+OJOcO1eLceOUiI2NwaxZWuzc2YW9e3vxt7/VIDVVjO7u61NHjuPqcM0HnDVrmnD//ekjIlUfiZwcGVpa7JDL+ZgwIRZOJ9nHkcn4tDwKn8+jm7dsU0yZmVIsWpSEpCSyJJSaKsHx433Yu9eGM2fMGD9eFfXgCH3Mnh7muPSuXZ342c+y0N7uAkGQB3pbm4PRg1m4MJHWxsrIkGD27HiMHatEJHw+5qG+Y0c3bropnhYgXbAgID4KALW1NkydqsbRo30wmTw4c8YS8edCEMBttyUgL08On48UM83LUzDk7Acr2Dlc2HoRwVRVWTBpkhqnT5P9owkTVIwei8/nh0DAw+nTZtYsYtQoBTIypKipYR877uhwIDFRRA93KBQC5OTIGOPbo0bJ4HT6UFlpYfXTCe6/sHHyZHiWOm6cEiUlasTEEODxyMyU6n0dO2bCG2/UMX7fSks1jKDpcgWEXvfu7cVf/jIGXq8fTz99hvHcwf2ZKVNI072qqsgj2Bwc13zAsVjCx19HmltuScArr9Rh/vxEbNrUAYVCgPvvT8PJk2bweC74fD4UFcXi0CHyj3r37m7cc08KOjqcMBhIteSODifOnu3H4cMmnD5txvLlaVH3iGpqrBg9WkE3i1tbHTAYyOAGABs3tuHFF8egosICgiCvdru63IwAs2pVuOXA8uWpaG52oq3NgXXrWtHbS5awqIMgWm+lp8eF2NhAyY3ykKGgxmQpCIKHtDQx5syJD/PM6etz4cyZfrz5ZkAdu6SEfaclEpdaQiMHExQRBwmamx14/vl4xMeLcPasGe+8Ey6xU1ISG9GdlepjhQYcysaAHAaRorqa/Jn293tw4YIFVmtgT4rHA44cMUV8D36/nzVrFQiAKVPiUFioRHFxLEM26Nw5M2O3ZqBpvf5+D0Ot4tixPkydGoedO7vhcvlw7pwFBw704plnslBTY2Us6FKoVDEwmdwRn4ODA7gOAg4AfP55C+6+O+WymT1R/RDqD6a/3wO73QeplEB/vwcWixfz5yciI0MCpVIAvV6KtDQJXnutHmvWNNFy9cGECnVqtULGjsfXX3eivNxAB5xNm9rwP/9TQAcGr9eP9nZmBhMsxw+Ee/AcOmSCQhGDDz4IBLqdO7uxbFky/bhWK7M0F8y4cUp6d+XIERMjA8nPl2P69DgUFipo59CiIlVEzxwAeOwx5usdqKkf+u+hZkC9veRkW0+PGzNmxGHiRBXa2x1RJ9dOnOiPmj13dbnCAi+Fy+VDaakGAPN1BtsYeL0Ykmp2+PM7sWxZMjQa5qSj2+3D8eMmvP56/YABZSDsdi9iYgLv4eTJPqxYoWcMEhw/3ofjx/swY0Yc7rknNWzUubPTicREEdfP4YjKdRFwmpocSEiIPlp8KRAEDy6XD9OmxeHYMRMcDh927uzCihV6xMTwUFtrQ2KiCF6vD6dO9eOzz1pxzz1pdMbDxvr1bbjvvnT885/1AMgdjyVLmGrTBoOEzlK8XnL/J1qA6etjWkpv3EjK3nz0ERmIOzqciI2NYQQ2i4X096HYv78bK1ako7/fBz6fh+JiFb1ncuFCP06cMNOHV1ubHc88kwWn04eaGiv+7/+a8fbbgYylrEwfdeHP7x/cIiXFYARBg3G7vbj77mTExpK/GykpIpSUqHDhghUHDxrx5z/XDLigOlAW1dHhQHa2DlOnxtHlNipL7OlxYu/eXnz3XeTfg4Gm9aj3pFQKMHu2Nkxxwe32wm73XFJAYUMq5SMnRwalMgZyuQDZ2YHnDS21Bn9Ge/f2Ii9Pzij3AkB9vXVAcVsOjusi4ABkeSQ/X35ZrqB4PCAuLgZmsxtPP52FtDQx9u83oqnJhs5O0udlyZIknDnTT2u8DaSr5nD4IBAE/mjr6mwoL9fTmmoAeYUcvM8TGmB6e5lZ0rp17bjzzmTaxI1NuLOuzoqCAiXOnTNj+nQN8vMVKC5W0o/t8fgRHy/C3/52Hj4fqbVlt3tx9CjZ7M/LU9CP1dzswN/+FnlCcKAAQZVqLrWxrFYLMGdOPIqLlZBKM+FykQdgYqIQx4+b8eGHdfTtFixIGpIkUvB7KCpSYcKEWLr3QQUDtTomohbZzJnReyyhQTI5WYzSUg1iY0nxVrVagOnT1Whrc2LPnh7WctVAfZzQoBYsf0N+348HH0xDdbWN3o+y2byorLTQxniPPx5eno3Ee+814uGHmQMfRqOHMfTAwcHGdRNw1q9vx1NPZY5owBk1SoH4eCGEQh7Ky/Xo6XGjudmOV1+thcXixcKFiTCZPBcXD3k4ezawnBfq6MlGaqqQEUS8Xj8jwMyZo8XEiSp6Z6G52c7QMyOX7QJZUmi2EkxGhgS33JKIjAwxeDygri4OBw/24o036kEQzJJLeXlgc/7AgV489JCeDjhD2X0aKDvo63NDqx18wFEo+LjnnlRaUaCwUI6f/zwLbW1O7NrVja4uF6xWD/15JSaSttIUwzn0dDrRRWFRP86eNeNf/2pgtUqItO0faSLQYJBi5kwN8vNlKCxUXpTN4aG720mrTQNkcCgpiaXVDYYCqQguQ1qaGDNmaC72e3jweHyor7fRpbz9+3uwYoU+6tBKU5Md48erWAV5QyfhPB72i42RHlvn+P5x3QQcgMwIBALesMdQU1LEyMqSAQDEYj4EAh6sVg/27OnFtGlq7NjRhZQUCe1aKZfHAODBaHSjr4/ZEK2stGLePKajZ06ODPPmJdBXnBaLDxs2tNELhQ89lM7Yyt+5sxvl5Qb6AP3qq3aGgGRolhSMTifCggVJmDBBiaefzkJ9vQ1vv10PmUyAJUt0eO+9pkF9Jh4PGJNZoZNqA0H1doRCPj77rIWxINnf7wkT/gTI4FhaqsXkybEgiEBAjo8XYv36NlRUkP2mKVPU8HpBy9t4vcDUqWr682JbiB0qbW3OActV0cbM09MltDMpAGRnS1BTY0drK9nbOnxYgs5OZ0TfHa/Xz/j82RCLCYwfrwobXnC7faiutmLnzh6YTOSQBhuhJTI2Dh404vbbk3HqVF9Y1n7mjBnFxWocOWJERoYUGRlSFBYq8OijeojFPMTEELBYvEhPF+PRR/V46636QZdROX5YXLaAs2yZDq2tzhH1C/nww2aUlenx978Prp6dkiJGZiYZYEQiAkqlgD4Qu7qcOH3aTAevmTM1qKmxIjOTFOEUCHjo6nIiJ0cOk8kNm43U/urudtFZiVxO4JFHMiAUEiAIcpEveORUKCTwwAOBDGXdunYsWRK55BOqsxZMbKwAt9+ejORkMX796xxUV9uwZk0T1q1rw003JdC9lL4+cqoveIy7pcXOmICLdoCGTqpFIzZWAINBig8/bGY14UpJESM/X46xY5UgCB5KSlQADGhpsWP9+jbExPDw738309NUkyerL5YIyYBTV8fUU2ttdSAhQRzymV3aVfVg7u90ejFzZhxGjVKGBQeRiId//KOeHtwIbeDbbFaMH6+KavRGydCoVALk5MgZWSxpkifGwYNGuvwVCjk1mRox4LAhFPKg0QgRFyeEShUDrTYGVqsHr7wyFp2dTiQlifCzn2XBavWBIEhVhvvvT8NXX3WgsdGG5547A4vFB4EAWLHi0ryNOH44XLaAM2mSGr/5TcWIPqbJ5EFnp5MxThxMUpIIOTly8HhATAwPN96YQJe8jEY3du/uYciwB/POOw349a/zsHp1DUpLNfD5yAxEqRQgNjYGPp+fvsJsarLj1VcLcOCAEV980RbR8ZDKyChC/XKiIZcLsGRJEjIyxHjiCQP6+jz48stWOBw+LF+eRsvTdHW5LtoABKivt2HMGAVOnSIXGnfv7saiRTo64DidXkilxCU7NZpMHnz9dScmTFChpESNxEQhursDmaBQyMOePT3Yto2cdvL5mHX/5mYHMjOldJm0upqpCM2WwQx1km2o36feC/Vz8/uBvDwpzGY369j0+PEqxMQEJgVDg7vLFS7OSo1NU5Nh+fky8HhkCfLcuf4we4nubidEIgL9EeIJKQDLLLUSBClmSk3YkYri5Fg6j8fDvHla/PvfzWhpceDcuX489hgZKP/97ybcdVcKeDzy958qtQJkMA0tIXs85Ig2B8dguGy/KtXVtoiH+6Vw8qQZt94aD5/PD6vVi4wMKR1gVKoYul9gsXjxwgsVg1YoMJs9ePnlGjz5ZBb+7/+a6AOjq8sFoZAHrVaElBQxzpwxo6vLhepqO95//9LHtI8dM2HaNDVOnOjD7bcnIy1NhN/8JgdtbU6sW9fOmg2FHmChkKWsQBAymZi7TPv392LmTC2t1TYYCAJhy5Fjx8rx059m4+hRI955px7z5yfh5MmA6dpAze7aWitycmR0wBlKQI7EYE3XpkyJw5gxSkycqMQTT2TC4/HD5/OjstKCf/2rkfG7O2eOFv39HtZt/qoqC/Ly5HSZb/fubixenIy6ukYkJYmg10uRlydjyPz09rrpsWmADADRRqdramyYMEHF2gvj83nQ66WIixPQn3dGhhgAD99+200/7pgxCka1obBQydgfCl6S/eijFtx3XyrruD8b3qHbL3H8QLnurk0qKy1YtiyZbpJWV1vh85FTN4cOGen+y3Awmz148cULeOSRDLS02PH1151obLShuFiNzk4nMjKk9G03bWoflA9IR4cDqalieivbavUiNpbs4yxerINOJ0ZRkQp79vRiw4b2i2VDAz2JxsZAsjdnzphx++3JDNfU4Cv5igoL5swJNNurqiwoKFDQJZm0NBEefVTPKB8VFMjx4YctjKv8ceOUiI8X0c9DZVJr1gT6R8EHrdnspvXUALJkFvw62LiUkplUSiA3V8awMADIvsnRo0a8+WY9zp5lTumxQcorsQ9rWK1epKVJIRYHNPcowdf2dgeOHDFBICCilpZ7elyMz4Xt+aVSPkaPViA7W0orJ/j95HuZOTMO/+//VdG3r6khBT1bWgKDH6GZnMvlZWjxNTbaYTDIYDSSn8OaNc1YudIwqDLdUNxiOX7YXHcBByDr2gQBbNzYyfijGineeqsBc+ZosWqVAa++WofbbktCZ6eT4ZxYWWkNM2hjY8OGDrqPQyoPx+BPfxqDI0f6sGlTO5qaHCgvZwaY0BJFaamGETx6elwMzbO1a5kuoX19HkilzD5OKARB9q1Gj1YgJoaHH/84GceOmeHz+eF2+7FuXStjz2LlyoBg6UMPpeOddxpx8qQZzz6bTXsBkaKjgRdP2WVTkLbQMvpgDR1YYH+dAy9/yuUCzJoVB71ehokTleDzycVUp9OLtjYn/v3vpjD7BIoLF8jgGy3gkK8D0OulSEkRM3x+fD4/+Hxy2o/q3e3dO+BLZlBba8W4cWSfRybjIztbRmd6Wq0QCoUABEEuZJaWarF+PbOHOX68ivFvtnH5UHO51lYH9HoJLY5aV2dFcbGaofIcGuw/+4w9o29osEYsc3NwBHPZAs7l0smaMEEFm82Df/6zYeAbXwI7d3ajoqIfzz2Xg64uJyQSPux2ZvYUOsYcCmXUNnGiCgKBAd9+200rDERrsoZeMWq1QqSlielpt8G4hJL7OAqcPUvu4xQUyBlX+hMmKHHgQC+rjUFqqhizZmkjOloGX+339blZ/XAAUm0heEu/psaKG26IH5JnTTBqtQBpaRJa6QAAioqUcDiSsXdvDzZt6gxr2peWapCTI6NFRUPp6nIxyo8EAWRkSJGSIqEHOHJzZSAI8vWzZSozZmiiTmVZLKT7aXDTX6kUXJS/IT/LUaPkEAoJ2GweVFVZGbctLo5FbGwMensHLx0T+vdHOcNSv0N1dTbo9TI64DQ3O7BgQfTl6khmfJs2deL3v8/H6tW1UYcjODguW8AZaMN6OGg0QtxwQzz+/OfqkX9wFqj9j2nT1OjsBC3fTvH5520R7ROWLUtGfb0dr75ah/JyA0NBILQkduBAL+bM0dJSIseOmTBlSsB5ct26NsaiHZtLKIXBIMUttyQiNVUEPp+H6mo1jh414fHHTzNut3KlIeJV/UCmccEBcd26NixcmMg6Rk32ZAK/YmwDDmzodCKUlmqhVgsZNtH9/W6YzUw1hrIyPd59N3L5sarKiqlT1WEBh9xhkUKjEdF7LAB5VU9ZOFO0tTkwapR8WNm0Wh0DlUqAO+5IQm2tnf7s+vrcOH8+MCCQkyOL2McxmdxITian86xWD2JjBQwpIbayY+jXGhpsyMyU0QGnvt6GadOia9sN5aLxd7+rwG9/m4e//70molgqB8d1VVJ74olMvPDCyE6+DcTBg0bMmBEHrVYEqTS8ju/1+lgVB4Kzg/Z2BzIyJHQzvbubWRI7dqwP5eUGOuDs30967lABJ1rpKTlZjNtuS0Jmphi//GUOKiosePPNOgiF5BIllQWF4nb7GDX80ANKoeDjvvvSIJMJsG5dGxyOgCV0f3+gwdzVFXmMur/fEybqGUxqqhgZGWLGcmxJSSyMRhd27uxCR4cLjz6qp8fKAYT1Y0IJVYhubXVg9GgFozzI45F9kepqK86ft6CwUBm1ad/Z6Yx6ONvtXuj1pFOrQMC8EDAaXTh40AiBgBd18TJSjwggL7So/lxTE+mhYzIFLBUGExjq6qy47baA9IzD4UNMTPThk6H2z1566UKYAgEHRzCXLeAcPWrCjBlxUY3KBkturgx33ZWK1auvTGYTit3ug0wmYDTAKT76qAX33puO996LfJW9fj0zQ1m7llkSA6J77AQTHy/EokVJSE4W4je/yUFlpRX/+lcjpFICixcn00MMHo8XPB6PEVSCOXzYiOnT4+ggF3po8flgiHLu29eDWbPisGlTJ/bs6UFpaTzrwITRyAymPp8fWVlSzJqlhVjMR1GRkl727Ox0oKvLFZaxUNpwwMCZssPhY5T06uqsyM5W0Ls7ANnTuhQBTbPZQ1sKkLbPUsbnpVDwMWuWGq+8Uh9xKTk7W47t27tZvwcwD/fUVDHmztVAJiMD+ejRMnoooL7ehoICJcPDhy0whP48TabIKgxiMYHMTBkSEkS4++4UujybmSllvX0kIikQcHBQXLaAMxhnzEhQW/RiMQGfj7yq+/3vL1yGVzk4HA4vFAoB3O7wP2zyCj/6x+jxgKHGy1YSi9QDUKvJhc/cXClefDEf589b8OGHzfB4gAceSKczKZfLB4WCeZVcW2tFYaESR4+a6K9RZUmNRgixmEcHnOZm5v6I0ehllG0qK6244QZSWaGhwY7588OFGnNyZEhOFqG8XI/WVjKjGD1aBovFjU8/bYXF4gnrsQyUsYQSmsE0NtqQlSWlD+C6OhtmztQyAs5A472hB3awVTRB8OD3AykpQkyfHoeWFgdjQIBCrzdEVcBgO4gNBjIQS6V8FBYq8OyzWbDZfOjsJG0g/vrXWgBkEG5vJwN4U5MNN9wQP+Bjs5GfL0NZmZ6+fVGREoAebrcPzc0OeL1+bN3aRfdhhvqzATh5G47oXNaS2mDHJTUaIRYvTro4WkqWnN5/v+myu3wOli+/bMWPf5yKnh4XJBICdjvzdVVXWxljxcNhz55u3HRTAvbvJ4VCdTox/uM/8lBTY8Unn7TinXc8KC83MGThhcLoB43V6sayZTpMmqSmv2YyufDtt91oa3MyDpRdu7qxZElgOTS4hBZKQYECEyeSvRUejxS9XLnSgIYGK958sxH3359GB5UFCxJRWWmJOCU2EB4Ps/QXmsFUV1swYUIsHXBCbbSByAcyJXIZ3MMByEOzuTlgFU295+GqZuTny+leVPCB3Nxsx5dftsJs9iA5mVzMpC4gIqlcs5VXTSZXVKM5gNSda2hwMMpdoY6rBoP0kpr+Dz+czk2qcUTlsgacSOUQsZjA7bfroNEI4fORDdRPPmkd9qF0uTEaPSAIHnp63CgoUOLwYRPj+xs3duCppzKjBpyGBjvDCI3ybunqcgbt48QiNVVML3yWlxuiKh+HXmUbjUz7ghMnzBgzRhWxjxOM2czstxw82IuHHkqD0+mnD+zRo6VYudKAqioLTp0K2BiEHlzBi4AWi5chVzPQFXBoiaypialGUF9vx9Spahw+TN6+pcWBW28VR3q4i/hhMEiRnMwcafZ6/aivt6KlxTlgyc1m84ZNmgXD4wGjRyswdao6bOu/ttaKgwdN+L//a4qo7tDaGn1QIxiZjMDkyWqkp0ug1YpgMEhRUKBAc7OT/nyLi5V49FE9/TfY3e28LIoA+fly3HwzmfmuXdtG9yk5ONi4rAGHukpWKgXIypJBoxFCpxPB7fZjw4Y2RiP3esDt9kV0Hw3dcwhl40ZSmLOmhtzrSUgQ4cUX83HwYB++/pp9HyeU0D5P6DDCl1+24u67U2nPGrvdBx4PDJM2tsecMkWNwkIVrXVGvR+dToTnn6+gFz3LywPlsJwcecTXGQypNBw45EOzDa+X+bnV11sZY8w1NRbk5yvogBOqpxasPycQADNnajF+vJKRvY0aJcP69e2XpOtnNLqRlCSC1erBpElqjB0bUFzw+fzIzJSioUGK//u/ZtbPOjdXhtJSLb7+enDqDrGxAixfngqFIgZFRSp6twggeysHDhixb18vWlvJxeJJk9QMryWCMDCGLYChl8jYfqdvuikB2dky+P2AVhuDkyfNWL26dkiPy/HD5bIGnC1bOvHYYxnYurULIhGBqirLgJv51yoWiydiiQkgR6R//GN2V9Jbb02AwSBDcbEKPp8e27Z1Yv36dpSXMw+FgTx2Qm2pQ4cRbDYfrVpMUVdnxdixKhw7ZsTMmVoUFanoq2zq9Zw40Yc33wy3MVi50sCQc6F0wVwuH5zOgO99V5eToaYwFE6cMGLBgkRs2EBqdNXWWlFSEhhjrquz0b0jCqGQh/nzE6DXyy6+j1gAlIKACWVlJxm3LyvTRx1pdrt9DPl9ioICBSZPJjOW1FQRpk5Vo6HBjpMn+8IUkWfO1MBm80QM7ME9sGByc2WYPl0DsZhPlykBUv1hx45umEzsfS9Kbw4Y3A4NMHB2OdDuDkCW3aghj9mztfj228iDEBwcoVzWgNPS4oBUyodEwqe30a9X1q5tw6pVmREXCMkrb/KPfto0NSZOjAVAlpd27WJf+AzNWHbu7MIttyRg0ybyKjh00i/UljrauHR+vhxz58ZDpxNBKORh7FhyeMBq9dGH1+TJavB4GPQi5uHD5Ij4jh3dOHDAiFmztNi6tRN1dTZkZcmGFXA8HipbIgNOU5MDt91GZjCxsQLMnRuP0tK4i+oS5Ht1ubyorrbSn9OqVcNXKxYIyAzwF7/IDVusrKqy0GrWVI8nUuntu+968MADGRF3m8aNUyI3V0L3caj30tBgjThQcSmESioNh8ZGcjk0OOAEe+O43ddGj5Xj+uGy7+F0d7uHvVl+LWE2e2A2eyAWE0hNlaC5ObxWfexYH1atMuDIERPDaI2ipoY5XNDW5mAoCFRUWDBvXmACiW3SL9L4NLXwOXq0DL/6VQ5OnOjDa6/VXbRICIxg63Qi5OaSG+aHDxuxYoWe3vfp7HQwzNdCr4hPnjRj5UoDduzoxrlz/Sgt1QIglyuXLmVqt1GEjpIH7/AA5MiyVhuDu+5KgVothM/nR0oKaYpmtXqwa1c3tFoR1qxpjJg9nD5txuTJ6qi/Z7GxAsyapUVqqoQxzOJ2+3DhggVms+eSfk/JSUQChYUKTJ4cF7bjUlHRj4YGR9SAEpw1UggEiChPFI36ehv0eumQAk5nJzNI1dVZsXBhEvbsCdymo8OJtLTANCOFTkcKlaamShAXJ4Tb7YtaHub4YXJdLX5ebXw+P7q7XTAYpKwBZ8+enqjLfVu2kBkKFXCCddYCzzHQayD/nxodz8uT4YUX8nDihBlvvlkHgYDAffel070Cl8sHr5f0sLfZvNi9uxfLliWjstIaZsy1Y0cXbrkloBoQ6vQYCdKJlD0SmkxupKWR8jYZGRJkZsrw1FNZdP+OIHiw2chl0uD9m2D27u2hsyk2du3qQXm5AQcPGqHRCDF3rhZabaDENHq0DGJxOr76qp3VwlkgAB54ICNqwLFaPYzpt6IiFYqK1IwMs6REhQsX+rFmTRPr7lN+viLsa8EEZ40AWW770Y900GhEYYMZA1FXZ8X8+UmMi5XQqdHQCcDGRgdycuRQKmPoRdZFi5KgUsXQvwNKJR+jR8svKpCTmbPXS15I5OXJ8frrdejocCE3V4aFC5OwYUP4583xw+WyB5yKin5MmKCKWIq6njCbI+uGDZbgDIXsiTBLYpH6ONTouF4vwUsvjcKJE2a8/z55sJWVGYIWPsMfs7bWirFjlThwwBjVpjpUk+3YMROmTtVEDaKB9xV4zvj4GDz0UDpiYghIpXzk5EiRmSlDa6sDr7wSLn1CEMCKFfqIjx2cTVFMmKDCxIkqeiKMGs02m93YubObYZFdWKhAfLwoouYdlZ2wQfVYEhNFSE4WITdXDq+XtKMO98chs79IRArgVFYkFBIoKlIhO5vsTdXVWdHa6sSbbzYydMwGs+vCpq/H5/tRXm64OKjBQ0JCDMrL9bDbffTPLzNTii1bOlFdbcWOHd1DylJWrjTQFxKVlQMrgXP88LjsAefbb7tRVmb4XgScr75qx9NPZ0U9VIZKaGDZtq0TCxYkYefObtxxhw7JySL89a9jcOxYHz06Xl5uGNI2vsXigUoV+FEH3z70vsGB49ixPqxcaWAEnODDLjFRhEceyUBSkghyuYBueB88aMKePd30cEJZmR7vvNPAujhLfQZsuzJKpQCzZ2uRkiJBcbGKscdSUdHPmAiL1v+oqiIHEaKRnCzEI49khAUeqsficvlw331pgxoxj0R3twM//WkWLJbAD93vJ3tF1N4Z24BAqGjmcLf5m5udOHPGHFYOC6asTD/sfiu39MkxEJc94ESzTb7eMJk8sNl8SEwURZSMGYizZ5kZH6U43dbmwOLFOqjVQpSUqBAfL8SXX7bCaPQMuI8T2teprWVOs506Zcb996cBCA+UAy3n8njAlCkqjB1Llo+Sk4W09tnu3d3Yu7cXCxcm4rvvjIysIvT1TJgQi0OH2EtWGo0QhYXysLFdq9WDPXt6sH59+4AN9Wi/Y5RuGEGQTrTjxqkYh7bP54dQSEQshVEEj3ez0dFB9uTi40UoLlYzbu/3k26gZrMH//jH4IMW2yEeLOAZHy9EZqYMo0bJ8Pjjekb2VFKiBBAYUkhKEqK/3x014IRCEKScj14vQ2qqOEw3j3p9BMGDShVZD46DA+B6OEPGZvOgr8+NggIFwztksOzc2Y3ycgNOn+7D4sU6pKSIsWRJEvbt68VXX7Wjo8OFVaui7+OEUlNjRWGhAqdPkwFm0ybmNJvT6YPT6YNKJUBfn4cRZM6dM2PCBBVOnuzDlClqFBQo6IOfxyP7G7ffnozf/OZ8xF7Ojh1dmD8/iaGCEExbmxNZWVLodCLMnk2qQAOBYGc2u9HYaL+kCa3ggQyBAJg6VYOCAiX9/ZISFfx+PY4f76MtGYIpK9MPeAERvDRKEEBJiRrjxweCl1jMw803x+ODD1rCXEMphroLk5IiCsu85HIC99+fDpfLD6PRhbo6G/77v6uwZElyyBQkM0iTWWgGYmOFSEgQMSb/ADJ4FBcHtO58Pj/8flK8tLHRhm3buiJaFAznvXH88LgiAcfjGVzz+XrA5wuIeQ4FggBuvTURGRlSFBer4PHoGQuf1LImQKoPS6UEXZIK7etEGpemAg4bDQ2k6OPBg71Qq2Pws59lwWolla7V6hiUlKiRmirCE0+cCjuMb745Abm5kQ22QvsFGRkSzJ4dz1DXHjdODq1WSAfVUAY6rEL7H2q1ADNmaCGX8xEbK4RQyMOPfqTDsWNmeL1+HDliZBy2Pp8+bBEymGhlKqrHUlQUCMZerx8nT4YHr5UrDazTegNBDSEUF6vw+OMG+HzkgS8W8wfMvAaLxeIBn0/g6FEjWlocEQZUOLVnjsvHFQk4337bhZtuCuyXXM8cO2bCuHEqnD8/NM2oW29NRE2NFRs3doQtfIayfn07br89mc4Ytm/vxK23JmLjRnJX5eBBI1atGpwwakGBArNmaZGcTO7jjBmjxNdfd7D21MgeSfhj7NnTjbvuSg0LODk5MsyYQS4t5uZK6cO4pcWOdetaGeKfs2aRJmWR1CUuXOhnZGkUo0crMGUKKePy4ouj0NBAlu3MZjf27++F2eyh9b+ClRCGw8SJKhQXq8N2m6jJM6fThw0b2mEyDd4ILZTkZCFDQBMgAws1hHD8uBoiEY/+2a5caRiRYEPR1+dh7NUMF4EAiI8XQa0WIi4uBmfPmtHQYB34jhw/aK5IwKmstGLevPAt6+uRAweMWLgwCQ0Ng6+DA6CDBQAcPmzCzJmB6a/6eivy8+W0fEtXlwtJSQH5lqF8fllZUtx0UyJGjZLhP/4jDwcOGOl9nAcfTBuWU2pOjhxTp6rDVAwaG22DXlp0On2sfkLB31++PBX19YHD0Ofzo6bGig8+IIcDhjoazIZAAEyfrkF+voJx6JeUqHDmDNvkWQCj0Y2EBNGgAg7b2DRAjqezlfQojh4ld6OogDOURnxolhaqrB36eAIBYDDIYDCQ/ZmYGAIlJbEgiMBwRne3E59/Tk5ATptGSiARBA9utw99fW709XnQ0+PE3Xen4bXX6qDVCpGTIwdBkK6yoYKldXW2iOPtHN9/uB7OMGhvd0IuFzB8X4bC4cPkQicVcDZv7kRZmYEOOAC5BPiLX+Rg165uejEzGOrASk0VY/78JBgMYrz00ijs22fEG29QopoGbNkS2MdxufxRBShlMh4ef1wPn488uKiWRUVFP06d6r+k7KGy0oKFCxNRUqLGxImBvgf1HJWV/Whqir4YOZTpLLGYwKxZWnrEmPLhcbt9OHbMxBK4DAOOfxMEc5FVICCHEKhDGAA9TXf6dB9r8JozR4tx4yKvCUSa2BsOlMtnsPpBVpaUzrDcbh9aW+2or7dj715yqjC07xPM/v1GhqROMHfdlYKVKw2wWDxoaLDB5wPefLMBRUXqqNk8xw+LKxZwBmtVcD3g9frR2elEdrZ8WAEnFJ+PNDwLxmr14p//bMDs2Vr87GfZkEh4UCgEEAqJi/YFIvztbwXYv7+XblCXlxsYi3ah6sB1dWQfx+HwoqQk/OpbpYrBK69UwukM/2Hl5UVfWgyenGJr2gPkVX9trQ1vv82eReTkRH+OYAgCKCpSIy4uBhIJHzqdmD7sAVL+5uBBI301PVAG1t3tjHoBMXGiCrfcEo+sLBkcDh+ysyVoaHDgu++MjIzlnntSsXlzZ0SZ/337enHffWlhASc4eGVnS1FeboBCwUdTU+RMeiCDw9paG6ZOVTMCTl2dPWqWOJAIbSSqq22sjzuQjTXHD4srFnDYvNivV6xWL2QyAlbryNXWQ//Av/mmE4sXJ2HLlk7odGLMm6fFiy/m4/BhEz7+OLCPE2xlHUpokDebXbjnnjR89VUH6xTV5MlqTJgQy5pRsSEUEpgxIw75+QrExgrwhz/k4/x5KzweP44eNYYd8A88kI6TJ81DGh4RiwnMmKFBTo4cRUUqeiSbWr5saLDBaiX7Es3NSTh3zsy64DlQaYoURpUjO1uO0aPJwEdlGj6fH5WVFpw504/XXqsHQA5GTJgQyzB6A0jdvNmzNXQZKhSPxweDQRw2JOH1+sMm6G6+OSFq6bawUMUIOKHvsbXVwVBcGAyk3BKpQJ6YKMTy5enYsKENlZXD68+wXbxw/HC5YgHn6687sGBB5NHZ64mvvmrHE09kYvv24QuSHjjQizlztLTjZl0duTtTX2/F7bcnQ62OQXw8uVC5dm0r3nuvccB9nFBqa5m9oePHzZgyxUY/ZyiHDxvxyCP6sIAjFhOIjRXg+edz0N1NRgsejyzTHT5spNWDB8oimpvtyM6WsZaTpFICOTmysIOYylS2betCWZk+av9j165u3H57MmpqwkfK+/qYXkHB3HprAgoKFMjJkeONN+ojZgDBWV4k19PmZgcWLhQzbB9CBwTsdt+gypN6vRTffDP4fodYzMPEiSro9VLEx4tAEDwUF6sYPZn8fDnmzNEiPV0KsZiAXE7AZvPTmU1engw5OTJYLF6kporx/PMV9OMPJ/Pp6YmeOXL8sLhiAaery4XsbCktHHk909PjgsPhRWKiCAIBL6q1cCSOHetDebkB+/b1YskSHbRaIWbMiENtrQ3r17ezHoyRhDspQoNYaG/I76cyzRjWxrdUKmA99J1OL7Zu7cTYsSq8+27k/aCBFnwdDh+0WhHDWoDCbvfiwoV+bN3aFXEx8exZM4qK1GFZBYXZ7KEHE6RSAjNnapGVRXq3pKaKMGGCkjGUQL3mo0dN+NOfalBWpo+o9iwUEtBomH8uNpuXzvKCg1F+vgwrVgRsH0IPaSpLGwiC4MHnI8ttU6bEYcwYJSN4FRWpGM6geXlynDjRhwMHAku4oRcBP/tZJrq7nTh82BTR8pv690MPpTPERB94IJ2WRaKyZ6oUnJ0tCxsQAEir7uJiNerrbWhstGHOHC2ee+7coN4/x/ePKzo0sG5dx/fGEdBs9sBi8WD0aAVOnTIP+n4CAXDbbTokJ4uRkCDEAw+kY9Om9kGp+rpcfobCAWVLTfUpKLVqKuCwqTw0NNhQVKSCQhEDnU7M+L7D4UVPjyvi1fekSYOvxycmClFaGg+tVkgfTqmpYng8Prz/fjPriHxsrACLFukiBpwDB3rx0EN6OuAIhQSmT49jiGIWF5NlN4fDiwMHjPTQRGysALfdljSkDDGYOXO00GhisGqVgeFoeu+9qTh0yMiQO1q5MrpdQqR+plRKoLRUC4OBDJKUPhzp82MMC16PPsrcLVqwIBGNjY6Iig8AYLX6o+5rBQeMxkYyI6XEZoej/kz9HnzyCSnFZDDIBrgHx/eZKxpwTpy4/vXUgrFavVCpYga+YRBTp2pw8mTfsIzoNm1qx8KFiXR/4PRpUtRy69bAbSKVPMaNU2L6dA3i42Mglwvw6qt1WLs2PPhHW8Bk64MkJgoxZ0481GohcnOlePxx0pnSaHRh164exuGn04kwa5aWttkOxWTysC7UyuUClJZqkJ4uRVGREnw++RrdbrKkF+kKfTCPHQxB8CCVEpgxQ0u7WvJ4gEzGR1OTHZWVNvzrX5FtEgZLS4sd99+fCqmU+bvjcHixb18PrfQ9VH+chgYbDIZw64BgIpnNsUGqNyijWqcPREeHi6Gy/X0aHuIYOtxY9DA5e9aMnBxZxMMzEoNRXo5Ec7MDixaJGV+LFGAoA7acHAn+8Ic87NrVi9deqwOPRx5kQ800U1PFDOtmKvgYjW7s3NmFjg4XHnwwHR9/3EwrJITS1uZEXJyQ9XsAkJYmRnq6MCzo2Wxe7N/fQy/NDnc8O7gcFTyMQFFcrITTmYrDh42MXZHSUs3F0hYPEklku+7g16tUCmjjtlA7bp/PBz6fR/e+hkto9kq5pUajtdWOjAwpPVgRehER/Bk1NNhw442Xvj+XmCjEokWk0nlBgQIPP5yOTz9thdl8/Q8QcQwNLuAMk127enDzzYlobLyyJcLQPg51xUgtfKamivHnP4/B9u1d+Mc/6uDzkT0DSgHY7yc9ahISROjsDG/k9vQ48dRTBrhCWkgdHQ5UVVmjHvb79vWgtFRLX6Gz4XL5MH48aS0Qukja0eFAT4/nkvZ9enpcdJM6N5dUQqCeJ3hs2un04tAhI0MZmVS1Di8b8Xjk51ZdbUVeniJsqEKpFKC0VEv7/iiVBH7zmxxUVlrpgYdQgnsvg4Eqt1G9L5/PjzFjmGPkNhvpbxONxkY7srLkEa0agiHH9QMBSC4XwGCQICtLhoQEcdhYfbCTKfXvpiYbJBIBTp7sQ36+HOXlp0AQBB55JOOSAy7H9QcXcC6Bjg4HNBohNBphxL2LkcbrJYNOcrIYCxYkITExBqtXF2D79m688QYZYFatMkQ99Jub7bj55nhIJIKwQ6OtzQ6n08eqaHznnSlRJ44qK6244YbAFTGbVIzBIAHgx4cfsmdCwxGALCxUYNIkUglBIiHwu9/l4dSpftTXW/HRR4HnGY6F86hRCjidPtTU2CAU8vDkk5mYMCGWcRur1YN9+3oYO1ArVzL18UKJtNwplwswa1Yc9HoZiotjweORJcrQchsw9KAFkFnQpElqSKUEMjNlyM6W4eGH0yEQkIGKzyd/btOmxcHrJTXrqOdxOHxoarIhPV2Czz9vQUvL4H7n+XwCN94Yj2PH+i6W8nzDcjHluP7hAs4l4Hb70d7uQH6+HPv2DaxrNhJs3NiG1asLsXt3D959N7DwyeZkGYnubidmzYrDSy9VsdbyIx36O3d2Yd68eNoRFECY5D/V6AbAKhUzc6YGfj8ilt1MJhfr+DL1PDk5Mvzud7no6iKn7Cj5m2BvnEhlt4F2caggoFYLkJkpw4QJscjMlADgoanJAZvNC5Pp0jIwComEhzvu0CExkVkipQJLVZUVDQ02hiRSKGy7bcGBTCAA0tJI7Taj0Y0zZ8woLdVi0iQV/H6gqcmOf/6zDg0NDsZO1sqVBlaLdAqbzYvUVNmgA87Gje144YU8vPUWZzn9Q4cLOJeAw0GOxfqGupxwCTQ2OnD+vIWx8DnQuPTp02aUlATGic+ds2DuXM+QFjAFAqCwUImSkliGJ4rPx1RNHqjHQjXiI9HUZMNvf5uLigpmb4xSZ37++XNYtiw16nh2JEKzCrVagLlz45GQQB76JSUq8HgG9PWRdgn/+lcDpk3TgMcDrQA91Kwi2EQOCLz3/Hw5Pv20NaKQ5h136CL6B1EYjW5oNEK4XD7Mnq1FRoYMJSUqAIGhCoBgTLeRAqyGqJ+f0+lljEOHUldnxaxZ2qiW3ME88UQmDhwwQqcTIT1dCoVCgNjYoQ3bcHw/4ALOJbBxYzvKygwRFykvF6EBhiqzUYfKkSMmTJumpnWv9uzpQXm5AbW1VixdmgyhkIfMTCmSk8VhI7RCIYHMTAnrAuaRIyZUV9sGDCjRaG62Y+LEWOTnyzFtWlxYH6e+3oqamui9okgW2WyvoaBAgcmT1RAK+SgqUjLel9nsxq5d3fRIutOZzijB6XQi9PW5GX2RSKUwKrDodGJGpmezebF7d3dYBrpsWTJjvDqUxERx2Kh8aPCaPDkWhw6Z4HB4sXdvD/bv74XV6sGaNU30fe6+OwUqVWQBTzaamx3IzJSx2lEQBLmvNXmyGgqFACIRHzIZgf5+L3g8QKUSwGwOvLHERCE0mhj4/X7I5TFobrahvd2B1FQxVq0ygM/nYcuWToaOIMf3Fy7gXAIdHS54PD5otcJhbWEPF6vVyyilbN7cgUWLdPSo9YEDpDjo/v1GZGVJcfPNiSgpiYXF4qElbWbO1GDx4iTweDzGAe12+2C3eyMe+NOmaaK+Nh6PPOTHjVNBpxPBZvNBJOLB4SC32fl88jC2Wj2Mwz0YvX7ofZwJE1S0PlxxsYrel6mqstDltoHUpuvrbcjJkePkSXKvKidHDrfbz1g0lUgILF2qo7MiimB3UgB4+OF0RpkvlB07unHLLQmsyhtqtQBjxgQWcHk8P7KzpThxop/xHAAzmxQIEDY0wCbgGcrkyWpkZ8sglwuwbl0rJk5UYv78BFy4QGaZmZlSVFdTJn9mtLY6GT+/4L2j0D7Zr36VgyeeOBP2nGfO9NP3ueuuFNxySyLeeaeBm1z7nsMFnEvEZPLA5fIhPz+yQdlIs3ZtKxYt0tFXsnV1Ntx6ayL9/ZISNUpKyEO3udmB116rQ3m5gXHl29npgFyuxp/+VB32+KWlGhQVqaIeUgCpJzZzpgaJiULYbGTUslo9SEuTYPPmTtx5Zwpef70OTz+dhddfr6XvV1amx/btXUNWaKBcNqnlTiCQzZw7Z6aD6fLlqdi4sZ1xVQ+QOmbRrMErKy0oLlbj5EnzxckzDRwOH2PoQaeT4JNPWgZc1D140IgZMzSsE2oAOU2XkiLC0qXhfRyLxYPmZmfYflHwz48NjwcMZ1CA/N2YNi0u4s/ymWeycPBgL/bs6cbSpclYsUKP1aurceedaXjrLXJwhArUCxcm4cwZM+rqbEhOFrNeLMTGBo6UBx9MxwcfsC/aBmeKH33UAqGQwPLlqVAqY3DgQO+g9fw4ri+4gHOJ+P2k6oBWG3m/ZKQxGj2Qy5k/uowMskQBkD2bw4f7GGOnobI3Fy5Y4fWyH7x79vTg8ccN9CE1erQCs2fHASCQmhoQnmxrc+DrrwOBBSAPxq+/Zh6Mn33WgvvuS6MPzJYWsmRTWcleRtFqBXjwQVJGhep5+P1kKej06T4cPdoXdaR2z54elJbGhy3XNjTYkZsrYywyajRCzJ2rpUUuS0pU0OnEcLl8OHTICLvdh717A7tTY8YoBqUKceZMP2bO1GLbti7ExgouWiVI4XAEgmxcnAAffmhk7eNEm9YTi0nducHQ1uYME/AMHV0uKorFuHGx+Pvf6+lgHBxkqds3Ntqg15OLpaGPQfHWWw14+uksAH6YzZ5B73u5XD56JP2hh9LR2+u67iWwOMLhAs4lUl9vRUaG5IpL9hAEsGSJDqmp5NWx1wv8858N9IHR2+sKk70pLzego8OJuXO1AICEBBH0einq68mdjPx8OWbMiAOfTyA3V4qXXy5AZaUV1dVWEAQRdXKJDZeLHKpobnZcFJMky47UHpBAwMPUqWR/JRilMgabNzdGHL/WakVRP/NQYU1qbDo+XoSUFBHOnbPShyTZxwkoIvh85NX8lClq2O1etLQwg0E0rxq1OgYzZmiQnEz+TEaPJl1QrVYPdu3qRkqKhJG1lJcb0NTkCJv0A4D4+MgXMA6HD7ffnoyEBGHU5n7oa1arBZgzJ56xj1RQoMQTT5walHpCXZ0N48apwr7+738HBhC6ulx4+eUa/OY3OXj55dqw21KkpIgY5bfERCHuvDMF589b8M47jXjqqUxUVka+P8f1CRdwLpFvvunE738/Oqp+1Ughlwtw553JkMn4GDdOiV27uuir+ORkMZYs0dGaVadPk1fYW7eSo8jjxilRVBSL+norHTjmz09EWVkGGhvJ115fb4VMxsfq1eT3n346i84k3G4txo1T0v2NwXDokBEzZsRhx45uvPNOPR55hNT+UqsFmDIlDrt397D2ObKypCguVjP2WoLZvbubUVKkGDdOiZISNWJiCKSnS+iyW3W1ddB9HAqhkIBQSLC+X4NBipkzNZDJBEhMFKKjwwWfzw+DQYqXXqqke2sD7f1IJAStlRY86UfdNxq///0FjB6tQGmpltaLo4iPF+KGG0i5IYBUUFi50kAPSSQmioMEOtMQFyeERELAYJAhLU0CoZBAQgJzEhEgM3k2eaDQ0tqSJboB7eRbWpzYubMLDz2UjnfeacRPfpKGv/2tBkVFKjz1VCby8uSYMkXNlda+Z3AB5xLxeMh+SHy8EEqlYMSbnmq1AMuWpUIo5MHh8OGTT1pgNnug0Qhx660JOH2aLEuR3ieBQ2LhwiSUlMRi1SoDDh824dVX67BqlYFxEJw+bYZMxmeMWAc37KnF1p4eF20cxnYAB5dUOjsd9PTb6dP9WLlSix07umE0euD1+kAQZDnP7+eFHZQUNTU23HRTIuv3CALIzydLfBIJmRnx+eTgQ0VFP9asaYrYoxkKfj+Qni7BQw+lIylJRPeDxo5VoL/fg/Xr22AyMdWWy8r0Q/J7qqy0Dtq/x2wOt1cwmdx48kkDMjMD5bXcXCnuuy8NH3zQTGeIoYEv+LHfeacJ99yTCqPRhfp6O/bv76EHAYaDUimAXi8dUCuwq8uJigoLJkxQIT9fjh07ulBebsBrr9XRpdwlS3RYtSr6ThAwsG3ClVzM5ogOF3BGAI/Hj85OF0aPDpc9uRQefjgdHg+wZk24YGRPjwtKZWCXgSCAMWPkeOIJ8qD45psuHDpkotUHALK3MW9ePN3IbmqyY9GicE8XCrIXosEXX7TB5Yosm+L3B/7ov/22J+L0FbV5X1trxezZ0afdYmMDfRwKHi+wj3P0qDlqpjJ5spp1T4StJEaNTns8pKfMX/86BmazB3V1Nnz0UTPuvz+DPrAnTFBBqWQ3EmxrczBKfaHumefOmTFhQsBeOpJ/T1qaGB0dgXJibq4MCQki/OY3uWhrc9IXNd3dTlRXM0fICQJ48smsqP4zocMTbD+r4KDkcvkglwtgsQwcTJ9/Pgf19Q6GVUGwkR313+npEnzxRSs+/LAFv/1tHl5+uQYmkxs//3k2jh41YceObqxd24b4eCGefz4Pf/jDBdbnk8sF+POfR+PMmX54veRzhDrK/uhHyYPKajkuP1zAGQHcbj8Af9iE0KUSTRoFAGJieLj//nQolXx4vWTv4s03G+jg5PX6sWBBEl2aOnnSTOuqaTRCLF6chJwcKXJypKiqChdzpMzEKCLt2Jw504eSEvKADw2EbHg8fvD55Gc1erQCU6aow/ZxZDIiqhBoqLxMKAUFChw/3sfIdkaPVmDiROYuzpgxCqxf384o7d1xhw7d3S7s3k0OC7S02OlAcvZsP+69N5VeBA0mtNR3+nTgcwFIrbmHHtLTAYcsUQXed1aWFLNmaTF+vBKdnU7odOTrrK+34o036kAQBJYtS2YsbYZmIj4fqfI8c6aGFort7CT3XqhhB3LPRjro3RdShVqC06f76d8Pt9sHoZDcF9LrZUhPl8Bs9mDTpq5B7aWlpYlx++06fP55G1566QKeeCILdXU2/OlP1Zg3L562XujqcuHVV2vw7LPZ+MtfwicqLRYPzpzpp7MguVyA3/42Hy+8EDCOC5Vv4rh6cAFnBNi5swuLF+uueL3Z7fZh165O2lQsMVGI22/X0dIzVVVW3HwzqW0WGyvA7bcn0+PSJpMbn3zSiqoqFXQ6CR1wSJOzgUeigzlwwIgVK/RRN8+LilSYMUMDl4s8sPLyJPjFL7Jx/LiZdR+HXJqMXCeJplagVAogl/Px/PO58Pv9aGsjyym1tVacOtXPyAjKyvQMZWgA6O52MR6/oqIfo0cr0NBgv5jpMbMuilALhEOHjHj44cDn4vGQwSs4yFLq3QA5Bfbpp60Qi/msvR+CGFicEwA2bGjHqlUG7NvXg5ISNaRSPn760yz6Z6zRCMDn+8MCjk4ngsEgRUaGFOPGKWhVBbmcD4mEj2nTNNBoYrBypQEiEfDgg3p0dDjR2GjD5s3teOghPeuYPRtNTQ7Mny+iP5e//a0GEyao8POfZ+NPf6pGfr6dLrEZjR7s3duD5ctT8P77LWGPRV7wkVgsHrzySi1+97s8/PGPVSgujh2REivHyMAFnBGgstIKiYSPuLgYWln4SvDBB81YvDgZ9fXkFW9Hh4tuFEulBO64IxkTJ5I7KxaLB19+2QqJhM8YKa6psWLWrEB5izI5owLOQFvp5G0CZZOiIhVjCor8bz3OnOlHW5sd331HjgHPmqWB2+3Hd9+xa9C5XNHlVXp7SVVou92Lm26Kh0ZDmskZDBI0NTnw+eetaG52hA0JBPc72JDL+fB4fHRgBMihgzlz4llvX1NDWoNTO1j9/QEn1VGjFIiPj6E/C6mUQGKiGB5PFz74IPJSaCSCP+fA1/wwGCTQ62U4eLAXc+bEIz1diuxsKR55RI9Tp/rwf//XDIGAoDMjoRBYvboQer0MDQ1WpKaSn0l3txP19TZs3tzB0MsbDE88wW46N29ePG3PEKomrVAws9rjx/vQ3u7AU09lYvXqWsTFxWDhQjJDP3jQCKfTi5/9LBtr1jSxKp1T9PS48Ne/1uCee1Jx4YKF3ifiuPpwAWeE6Olxwe8nrXaH6pEzXEwmD/1HKxQSWLgwESUlAcfLDRvaIZUK6IVIgCz7BI9Lt7Y6GAZZHg/7DgZAXoFH8gBKTSXHXM+cMePYsT76Cn3KFDX8fnIRUigkcN995EKh1+uPWuo4eNCIWbO0jOwjLU2MG29MgEjEh1RK4P77U9HaSop9/uUvNQDIHotcLhjUrgwbUqkAqalSfP55YJAi9KAPDsL79/fgrruSMWOGBnw+D3l5UigUZEmxqsqCvj5P2AJnpGGJgV8bgbQ05pLouXNm/OhHKXjnnUbce286feiXlTHdQIN7YS4XcOJEf1CAYF9OHSyTJpGj0mazB0IhgV/+MgddXWSWeOBAb8RJPbbBhLY2J86e7ad3xp54wkBPAp44YcaFCxY8/jiZoX/zTVfE0XiLxTNgSZrjysMFnBGCdLl0Q6cTX5GAQxDAggVJKCoiS2Qulx9ff90OlSoGn3zSSjd4N21qx+LFSfQk2pkz/Zg9m+kS2tRkR16eHBcuhNf0vV4fpFICo0YpoNfLkJoqYn1/wZvx6ekSqNWkftehQ4FyW/DgQWenk2ENHYrL5cMtt8QjOzuQkbS3OxjvjSL44KqqIvXiqP5F8EDDYIiPF9LDCcEQBDmIMH68CpMmxYIgDPTtKir6sW9fDzyecPHSUPO1wSASEVi4MIn214mJARwOP9xuH776qh3Ll6fSVtn79vVi9GjlVZ3Cmjs3AfX1NjzzTBbU6hj87W/VYSoPQ2Hbti78/OfZ2LevF6+8Uodf/SoH77/fhKYmB+x2H/785xr8/OdZmDFDg4ULY6DXSzF2rBKnT5s5R9FrHC7gjBAdHQ5WWf2R5KabEugD2O8Htm3rxNatfOzYQTpuAsC6de1YsiSJPpCopctoGI3kImZVlQXTpsVdvGIlD3GlksAvf5mLrVs78cYbtVixYuBx2V27ujFnTjy++KKNtQwEkEuEc+aQC6jjxikxeXIcBAIe/d5aWuyorbXitdfqB/XZUFgsHojFgT5Hc7MNWVmDzzrj44WQywV47LEMEARBH2AxMTzw+cCbb9aDIIbvOhqMXC7AzTdrkZgooZUUfD4fxoyRYcOGNnrYI1irDADGjYul/zv48w3+nLu7nQzvomjOnsGIxQT0eikMBlLcVSAgWKfMKEpKYvH882cHZVVA+TjpdBIkJYkwdqyCnmYjCB4aGqz02P7rr9fjqacy8ac/VeO//7uK3teheOWVOpSV6bF6dS20WiEmT1Zj9mwtWlvt+Oqrjku2Aee4PHABZ4TYuLEDv/1tLrZtGznlaGphMzDW3B3W4G5pseOuu1LpP0a2KbGB1KUrKvrxH/+Rh1GjyMmuTz9tRW2tDRUVFhAEsGKFHnv3Rvf7uXChn14MDZ1uC0Yu56O8nDQVKy5WQCAwoKKiP8w3BxicGZvBIIVOx3yu4Kvcqioro8zZ0cGc2ApFr5ciPV2CdevacOzY4AcnAPIzVan40GgE6Olhv8JXqfj0Qqrd7oXZ7MaxYyZ64ITP54EgiEE5coYSHFQaGx3IyJBGHI9Wqfi4//40SKUCRiBxOr1obnagpsaK7du7ozbcMzIkcDi8jGAzcaIKd96Zgro65usnCB58Pv9FW4YWnDljxjffdDICAzXSD5AXDps3d9CDA6FOrA6HD263H2Ixge5uF+0bNGaMAo89ZsC333bhxInBLylzXBm4gDNCOBw+9Pa6kZgogkzGh9UaRXs+ApTTIhUIqIXNaNhsvjC5/tAAY7N5GXsU27Z1Msalu7pcOH/eQtf8pVICd92ViooKS8QMJZRjx0xYtEjHWAxVqwVYsCAJBQVyOnhoNEL89a/n4PEAy5enYdOmdvT2uiM9LE2wikAwzc129PREbiDX1FhRWqql/11VZUFurpwOOMGZQElJLG64IR5lZSeiTsgJBMCCBQnIyJAx/H28Xj/On7dg7twEuoTZ2GhDVpaUDiBGo4ehKEAFdCrgJCWJ0NtLHuBiMYFZs7TIz2eW5cxm5ufV1ka+l+DyYW2tFTfeGB9xcrKvz4v33osuBjoQd9+dipdeqqL/TRDAwoWJ+OUvz0W8T1mZnrbNCKWhwc7YYzp9uh+xsULGiHcw77/fhJ/8JJURjM6e7ceFCxbceWcKUlMl+OqryAZ2HFceLuCMIHa7D11dThQUKAdtTkVRXm7A+fP9Q9YrY6O/n2lfEFpmq6qy4sYbA1bQycliZGVJUFgox+nTlouWAuyeM/wIVjR33JEMk8lFZy8qFR8vvJCPF1+shFIZwxD3pDKZ5mY7cnLkjM8q2JY6eNotmopAqCla8KhyaMCsqrKipERNl/ESEoQYPVoBrxeQSPh4++0GOtiIxQRKS7XIzJSFLS1WVVkjCogGZ2a7dvVg6dLAcufJk32YNCkg2aLTiWG3By5O9HoJiopiER8vgtPpxXffGXH2bD8jIw1d1GxqIoNZW5sDBgMZ3Hp6XFCpIu9DDWb6MBpLl+oglxMoLzegstKC/ft78PDDGYzpvqHS3e3EtGmxjEGAPXt68NRTmawBJxIejx8ffNCMn/0sG11dThw8aBr2a+IYWbiAM8J4PP5B7UqEEk39eCDMZjdDvuPLL1uxdGlgQbCnx8VwWFSrBRg1SkGrS3d2urBuXQc0GjGA6MuAGza045FHMvDddz2YNSsePB6QnCzC0aMmfPNNN6Ohv3KlAV1droiNXI/Hj2nTyEY8xblzgfLaQO6hkQgWwJw1S4NJk2LB5weCwOTJsaivtzGm9wDgL38Zg1mztBg1Son8fBlOnjRj//7esKmyjAwJq4glGxaLB1JpIEpTQxRUwElMFIXo8PGwYUM7w7JcqRQwFkhDUauFmDhRBZ1OCI9HTmdTwYG2q8vJMNyLlLWq1QLcfXca689MKOTBaHRj/fo2JCeL8dvfktv/BQUK3HVXKoqL1WhqsuKOO3T44gumtA2VNWdlSemATAVxn8+PSZNisWtXN0wmT1i/pq3NiYkTVYwSp1otwBNPZOHFF9kVCEj88Hj8KC6OxZEjpii347hScAFnBNm7l2yWU5vkV4q1a9tx553J9B+p2eyhdcYA8o+9oCAQYMxmD371q3OM4KBSCbBkiY718aVSAg88kAaJhPx1USr5eOQRPZ599gx8PjITWL48DRaLB3Pnaunps8xMadTX3dbmQG2tEOvWsetu1ddbI45hB6NU8hkyOJTbpsnkwq5dPdBqRSE7Igbs2MHstREEqeFGBf5HHsnA++83s2ZUlBq1WExgxgwNcnOZJa/U1MhDGqEZV22tDfn5CjqDSU8Xh/UeGhqsWLYsBQcPGiGVklmXXh+Y3hMIgLFjlfj73+siKjDU1dmQmSlFa6sDAgGp1rx8eSpkMgEIggeVSgC32wuBgMCf/lQdcaqPFCgdg/Lyk/TXzpzpx5kz/bTKs0olwKpVBrjdZEAh96OkaGtzMHpTBMGDSETg5Zdr8PHHAjz9dDZeeaUWDz2UznjOTz5pwYMPpkMmE9CZzn33pePFFy9EnT602Xw4erQP6ekSjBmjwNmzV8aviiMyXMAZQU6f7sfSpclQqa7sxxp6FU35paxaZYDPRzaCz5zpx/vvN0UUl+zrI7fkxWICN92UgLw8Gd3cbmtzYNOmDsZ9Z87UoKhIDbGYQGGhklZn/u67XvrQfvRRPQQCsodECZsG641RfYZI7N7di6VLk+mAU1iowOTJcXQGSV2Fy2R8bNvWTQf6wSpCBzN2rAq1tYHAdvBgL2bNIg3UqEPeYAgc8sXFKrjdaTh82BhmsjaYYYcxY+SYOpXc3UlKEmHVqky43X6UlCiQlCTG7NmBz8VkciE3l5zocjq92L+/F19/zcy6Vq404MQJMyZPjgv6qp8e5ebzyfJdYaEKXi8ZCIJN6srK9Hj77Xo8/XR21EPcYJDi449bIt5m9epaTJ6sxsSJsXRg5fOBzz5rZc3QDAYp7r8/He+914jf/74C996bjjffrA+73bvvNmLVKgMdcFwuf9TXOWGCCufPkwGmsdGOuXO1XMC5BuACzgjT2elCTAxxRT1yCIIUeKQyGLvdiz/+sYoxoRQbK8Dixcl4773Iy3ANDVb8/Oc5+OCDpiAbYybBgw0lJbF47bX6iOXA777rwezZ8dixoxPz5pFj0tu2ddF6YH5/+J4MQQBFRWpMnEh6wxQXK+lgWlVlwfvvN4WNvObny5GRET2bGoiiIhW6u11YsCAR6enkYxUXq5CTI2c95MvK9BE32J1OL6RSUiVh0iQ1xoyRM8QsCwoUOHSol7Un5fcb8I9/hH+esbHCiOVFgiBN68rK9Bg1inyu7m4HHA4veDwwhhQo7ruPWTYjCB48HuDUKTOmTVNj/34jMjJItez+fi/cbh/q623IzZWHydfk58sZMjkHDxoH3cOsq7Nh1CgHnn46C//6V0PU38/g9yAY4OSaMiWO8XmdPGlGTAyPIYPDceXhAs5loKvLhfR06WUNODffnICcHBl8PvLQrqqyYu3atojjvqTOV4SO/0V6e0nNquCyR06ODPPmJdCN+LNnzfRgQ3m5AYcPRz5YTp8mN8YrKvoxfrwKHR0OqFQxKCpSQSjMAMDD6NEy/OIX2ejrIxvnfj9w8qSJVvwdTB+nttaG6dMDV/YDLXu6XD5IJATs9sANpFI+BAIezp3rp0dso/nZBJfFBAJg+nQNRo9WAiB7R//1X6Nx7pwFp0714cknTzNey8qVhiFp1QHkIERwMPZ6fYiJIX+ePp8fH37Ygtpa26AXXElBTllY+Xfr1k4891wO9u83oqHBjvXr25GSIsH69e344x9HwW73hZU558yJH7QQKBubNnVi8+ZOPPNMNrZu7cDp08xMZMGCRGRnyzB+PKnvxufz8NFH0aV3QrX2OHuCawMu4IwwRqMLajW7fP2lMGeOFqNGBWr9u3d3M5rZQiGBBx5IZ8iZBH/vySczB/yjO3PGjIceSkNOjvyiQrIUTU12hsXBQKSmijF/fhK9xDl2rBLNzQ58+20ncnLk2LOnB0eOmPDjH6fglVfqMHOmBn4/GDbOQyXUOoF67aG7IBRWKzkmbreTnwfZX3Di88+je7gIhQRmzIhDXp6CNjUDSBHVo0dNYRI2bD8LgOxNhWYFAfy0XQIlEsrjARIJD2VlBpw+3Rcmvz8camqsKC5W0wEneGrtvfcaaLXmo0f7kJgown/+Zz4OHDDhiy/aUF5uQFVV4L02NFjxm9/k4MQJMx2sh4rPB/zlL9V4+uks2GwezJmTAImEgMdD7p9t3NgRtgAbjW++Ia3PKUNCjmsDLuCMMJs3d+DJJ7Pw7beXtgA6ZQpZB6c4cKA36iQbeeiyTx65XD7YbF6GrD0b/f0eJCdL8PvfXxjUHpHF4kFOjhSlpfH0gd/V5WRMf61caaAnlmbM4KG21ga/nxwhFwoJWCyeqHbKodNSkfo4cnkge6ursyEnRx4x4NhsHigUAloVIj1dwvCfoVAqCUY/xuXy4tAhI3bs6B5Wn4hi165u3H13KqRSPj0CTiES8ZCcLGF1Qh1JmpsdWLAgMNzg9fohEJBaeh0dLrjdPqSlidHU5MCmTZ2YPz8JlZWWi6+ROYUpl8dgzZomKBQxeOqpTPD5PLS1OdDR4URPjwsmkxt9fe5BXYS9/HINVq8uwH/8RwXj9jk5MhiNg89SqqqsmD8/kTNfu8bgAs4IYzSSAoajRslx4IARTufQDo2lS3XQ6cQ4dsw05FHpSJL9MhkfSuXgftTfftuN7GxZRCtptZq0ORCL+ZDJyD2MX/3q/KAOx4YGG9LTyd7W3r09uOEGLb79thsTJ6YxbicQkDX4MWOUyMgQ47nnstDfTz7+hQv9rH2c4MBQXW3F1Klq+t+hJTa73QuFIvB5pKdL8fXX4VfmJpOXtf8BsI8VJyeLUVqqgUJByv9TC7hTpqhRWKhi3Ecq5UEmE7AqLFwNmprsyMyUobKSLJW9+24jfvnLHLz0UhUeeSQD//VflbjvvjRUVlqxZk0Tnn46C36/H59/3oovvmjB44+TCs/nzpFlVL/fB6PRg7g4ITIypFAqBfREHJ9P/q4ePmwKW0y97740mEzM4BQfL8R996Xj+efPR30Pubky3HxzAtaubQNB8OD1+lFYqMC33w4/e+YYWbiAcxmglKNHj1YMeUR6oLJONA4fNmHGjDgcPGjEuHEqutlus3lhtQ7uVDMa3YiLC2QccrkAS5YkQamMAUGQI9WffdZKu06uXGmIGGzEYlLdmNq0b2qyY8YMDRoa7KiosGDOnHjY7Z2IjeUzAobX68fx43144416Wq2AWlqNRKhDZbBnjcvlxRNPZNJLiSqVgDZXUyoFEAh46O4Ovwo+cYK5pElBLco+9ZQBrqC7dXY6sG1bF20BPmWKGgUFpMNnpMB1NQkOgNXVFuTlyemAAwDbt3fjkUcy4PX60drqwP/+bw2efDITf/5zNV5+mVTnvu++tLDHPX7chNtuS8K330b/mc2Zo8Uzz2RdtDDvwY9/nIq1a9tw8mQfLVDK4wE//Wk2w1AtEpWVVrS3N2HuXHLC71//ahqUSynHlYMLOJcBu90HHo+HhITooplDRSolIkqukBv6scjKksLj8eP0aTOjLOb1+jF3rjZs/ySUs2fN+M//zMeYMeQujc3mxbp17YMqSwgEwOLFOlrbzOHw4Y036nHDDfFhNsrBdHS4sHlzJ+uhbzR6aLn/aFCj4DNmaCAW8+ldHOp1NTTYsHYtOXk3fXocnQ2OG6dCXR37no/H48Mjj6TTuy0ejw8xMaR21//8T3VUodbWVgdaWx0RZVyuNUgxVeaI+uHDRqxYkY4NG8jsz2bz4ZtvOvHzn2dj3bo2OttZuDAJsbECejIz1IguEjt3dmPnzm5oNEJMmxaHP/+5mi7FpqdLUVqqwZEjJnz3Xe+gKwVmswdr1w7/oo3j8sIFnMsAdZhlZ8uwZcvIPe7992fQjeng6TGCIDWkXn21DqtWGVj1s44f78OqVeELj2IxgfnzE5GUJAZBkMKePT1uvP56fZhEPxt5eVI88QQpZ+N2+7F5c0fYdF4kmRyK5mYHsrNlrAGHjcJCBSZNIpvqlOGdXi9GTo4Mn35K2hcE91iEQgL33ptK399s9iA5mQyK06bFwuHwIy9PQW+9U1f+FRX9+PnPz/8grpJ9vnAr5jvvTMErr9QiJ0dO93dOnjTj5EkzYyz5+HETZs/WwOEIXOAEZ093350CguCFSfJQ9PS4aF0/ig0b2nHPPaSVd6QRfY7rDy7gXAasVi+USj6cTh/kcj4sloEb8GlpErS2OqIe8vv3d+OPfxyNxkY7GhrYp8eClaClUgKLF+tog7XkZDGjRAaQ5advvumkgwQpJpmOggIFax+HlKKJpZ9j//5eNDY6otprB/eW2PpMoVNmAHPUeNQoaYjnjSWsqb5ypYGWtmd//EDQ6+pyYtQoOQgC6O/34eOPW7jGMsjPKStLittuS4LX60djow2nT/eHjSkDYPSdbrwxATabl7bICOXDD1sglQ5d7ilSgOK4fuECzmXg9Ok+zJ6tQXe3B5Mnx2H79oEdFRcsSMSOHd30JBAbJ0/2Y/p0e8RhAoIgyz6rVxfi/HkLnE4vvvqqHQTBw9KlyUhKEuGee1Lx2Wet9AFLEMAttyRgwYIkAGTprafHRfdxqEVPiiNHwocZysvZsyqNRojFi5MY0i9msxsKhQD9/R40NFiRmytDba0VP/95NsaMUdK3Cx41Ho6mWmhTX6USYPnyFCgUQhAED7GxfNx6ayJqaqxcsAFw110pUCoFGDdOhdWra4d033//uxEvvJBPq0kA5AUDlRUBiKq+zfHDgQs4l4GKin4sXZqCU6fMDDmUaFy4YBlwMZONOXO0dL/F6yXHskUiAq+9VoesLCmWL09HV5cTr71Wh6QkMWbM0GD0aAXGjVPS99m5s4uRHUgkBJ59NgujRimGpGCtVguwZEkyreNmNrvxySekTD/Vf7pwwYKxY5VIS5PAYJCho8OJykor6uttEYOKxeKhHUQjQY31ZmfLMXVqHEaPljGyosrKfuj1Uvz1r+Rh+tOfZiE9XYLt20fOv+h6QyolaA+atWvb0NQ0PFtujwf43e8q8Jvf5OGtt+rR1ubEu+824be/zcfvf19xzQ1LcFw9uIBzGbDZfIiJ4cHh8CMmZmAvGYDczSgrMww41ZaaKkJ5uYEeuf3uu96wgBAbK8Czz2ajqcmOv/ylGgUFpCkVQZBTWTU1lqhBxG73obvbjbfeaoDHE7nER5XniotVKC83wGLx4PPPAxNsFDt3dmP58lTw+WTPhc8nDzhqIm/BAnJfQigkWMUy9+zpQWlpPN0MDt645/N58PuBpKQY/PKXuTh61ISPP26GWJwRFsCCA1BSkgjbt0fPKL/v/OUvNSP2WD4f8Ic/XMBzz+Xgyy9bUVVlxerV1bj33vSocjUcPyy4gHMZiI0V0DpWdrsXN9wQP2BZzedj72+UlKgxeXIsfZX46adtEYOSTifCT36SBr1eiqNHzdBqhVi1yhDVuyWY5GQxFi5MAp/Pg8EgQUGBEidOBJ6LmkJLTCQHDOx2Lz359fXXnRFLU3V1NmRlKfCrX52Fz0eqESxcqKO9dXbs6IbP50durhxnzgT6RtQ+ztixSowaJUdyspi2Yj571szYuM/JkSE7WxYmahmJM2fMjOfiGBn++McqPPVUJg4cMCIjQ4oLFzjBTI4AXMC5DNx0UyIOHzbC4/Gjrs6GggLloPo4oVv1+flyiES8AUtasbECPPhgBvr63PjLX6oxZ44GNptvQAFFpZK0JKCWQru7XXj3XVIlYNIkNRIShFi4MAkZGRIA5BTapk3tYaWX9evbGf47wcTHCyEQ8CCR8Gj16c5OF958s47ReM7IkODuu1PQ0qKhPwev14+jR434xz/q8dhjhqhBs67OilmzNPS/SUVkpp6aRiOgbQwKCxX47LPWqJ8Px/BYvboWN92UgKoqyxW36uC4tuECzmVAqxXi1CkHqqstmD1bG9WiWakUYPZsLdLTJcjLkzGsoAcSRJTLBXj44XQ4HD688koNfYDv3NmD8nJDWMARCgksWaJDQgI5V0jSQQAAX39JREFUEGC1erF2bStrb+TkyT488kgatm7tDhtZDcVs9iA3V0qrVXu9gWzNaHTB4/Gjo8MZNXDqdGK0tzuGbUTn8QACAVlnLChQIDlZiGefzYTVGojiR4/2YdeubgiFfNhsSVwj+zKydevgMk2OHxZcwLkMUFfoXV0uWK1exMcL6X2RlBQxsrJkGDtWCZ+PbIjv2UPuGojFBB56KGPAQ1cgAFasMIDHA15/vZ617wGQvY4FC5KQliYBQZCLmJs2dYQ4TLLjdPrw97+zy++z0doaPaCEesRQ5Tuqx3XgQC9DO24wTJigQkmJmhYKzcsjx6dra61Yu7YdOp2YtcRWVKRGfT27zhoHB8flgws4Iwy5POmnhTTNZg86O52YO1cLl8uPlhY7du/uoaVVgnE4fGHCiKE8/HA6FIoYvPNOQ1hzHgjYFqjVQjz2mAHffNM5YIYyErS0OGAwRFZo7u934557UpGYKILL5UNnpytM9XjSpLiw+1F9nKwsCZYu1SEhQUwH74qK/jChUGpQQCgkUFysDns8gNSWi6YSwMHBcXngAs4Is3RpMrZv78RNNyXSW/3V1VZ0dblw6tTATeq1a9uwbFkyPv2U2V+4664UpKRI8P77jYwFu6IiJe65J432Qgm1LbhSrF3bhrIy5r5Mbi6phpCSQpbLtmzpQGKihHZtDKWvz42f/jSL4VND6aqtWdMEnU4y6H0cl8sXtjkPkKW+zEwpvvlm4J4aBwfHyMIFnBFm8mQ1qqosqK4m+y88HmCxeJGYKAYwcMCpq7Nh8WIdAFJq5JZbEpCXJ8e6dW346KMWJCeL8eijejqDkskIdHa6Br0rc7nw+QCxmId77kmFWh0Dg0GKHTu68dpr5OImVSYUCgVQq2NgNLoBMBdLExLE2L27O8yymWLaNO0AryHQrxk9WoHcXKZCAY9HjkObTM5ByfZwcHCMLFzAGWHEYh7uuCOZPmDb2x0YPVqBfft6MW1aHPbv7x3wMbq6nFi8OAmZmTLs2dNDm1rl58sxfryKUUYCQE9/XW327etGXZ0DXV0ulJcb6NddXW1FYaECp0/34+xZM558MpO2+g1eLJ08WU0rXA8GgiCl/8eNiwWPB+TnBwJMba0VjY32sIxo9mwNZzPMwXGV4ALOCEIQwIULNvB4PLS3k4Zezc12TJyogkDAQ0uLHXPmkB4woSPQFJMnq5GSIoZGI8QvfnGO8b2KCgvr5BoxdJmqy8KhQ4EMzmh0ITFRiI4OF7Zu7UR5uQGnT/fD7yfLZGyDERcuWLBwYVLY14VCAlOnqqHTCfHoo3p6SMDr9ePEiT5aUy7UFE2v14c9Vna2DB9/zD4ObTBI4XB40dYWbsbGwcFx6XABZwRZsCAJmzd3YMYMDW64IR5utw92uxdqtRBLluhw9mw//H4/br01EVarBw0NdnR3O6HTSXDTTfHQ6yVobXVi9epaPP64flDPSRBARoY0bOfkavP55224554UvPtuU9j3TCY3qxOjy+VFUZEScjkzY/N6/ThyxIieHndE22YgXD8t9N+jRsnR2ekCnw96ACGY5mY7tm/nxnk5OC4XXMAZQdLSJNi/vxcqVQy2bw8sQYrFZJloz54eCAQ8FBQoIZcLMHGiCkplDKxWN9TqGHz5ZTtEIgJFRbHgRbLvBDBvXjxyc+W0ncDWrR1YsCDpikyjDRaXy8fwRPF4/LR0zb59PXjmmUy0tjpp5QCC4NHZxZo1jawW18XF6qiB1WbzMvaYSMHOVNppMj1dBICH2NgY7NjRhebm4WmHcXBwDA8u4IwwRUWxOHLExPhacPnM4/GHyMXw8NxzOTh82IiuLieqqkgzMJ1ORHvKT5miRnFxQN7mu+96w0pS1NLlQGRlSTFvXgI6Ohy0LM3lZMaMOBQWqqBQCPDcc9no6XHD6fTC4fCxltVuuCEe+fkKHD1qCvveqVPsDpzx8ULccEM80tLE+OMf83H6NPkZVlVZsH17F21XfM89adi8uYNTh+bguEpwAWeEIAggLi4GZ8+GK0Q7HF7afyaUhx5KR1OTHXv39jKu6teta8PLLxeiosKCI0dMA06hRbrqz8iQ4JZbEukR4eZmO95+ux6PPnr5Bw1MJjekUj7rKHPoIiiF0+mLODhQX2/Do48GHDgDz+PCjh1d+OijFsYuTjACAQ9yOZ8LNhwcVxEu4IwQM2dq0NLiQEuLA5mZzIBTUdGPRYt0kEgIxo7JhAlKaDQivPZabVgJyeMBzp61DHrvhCpZSaUEbr89mbY6aG11hC1YBt8+kkrBSLBlSyfmzYsf+IZBtLc7UFSkwqJFSUhJkTC+Zza74XRiyN44AKDXS9HWxpXQODiuJlzAGSHy8hQ4d45UxqVsn6msw2Lxorvbibw8BV1OUygEmD07Hnv2dKOvb/gWxkIhgTvu0CEuLgZ//esYHD7cx2oREMqmTe1YvDgpbMF0JOnqciE2Vhjx+1IpgTlz4pGeLqW/xuMBTqcHhw6ZWK2FhzoCnpgoRGlpPMxmN3p73UO6LwcHx8jCBZwRwun0QSjkISaGh4MHjZg9W0srDQCkR45cTn7cfD6PVjbeuzfyXo7Z7EZ8vJAhwxKqj+Zy+fHVV+10OWmw3iPNzQ7Ex4uG81aHjFRKoLRUC70+kPkpFHzcdVcqY8/oUkhLE2POnHgUFMjx61/n0IKkPT0u7NrVhdxcxSU/BwcHx6XBBZwR4ptvOjF3rhZTp8Zh9+4eVFVZMXeuFjt3kjs31NBZbGwMpk+Pg9dLTmtFY8OGdtx+ezKammzIz1fQU2nbtrHro0UZbKNJTBRi4UIdxGICqanige9wiTQ12XDXXanYv7930F410fD7/Zg/PwEZGWTwoibc2tocWL++DRs2tGHBgiS8/34z4345OZf81BwcHJcIF3BGiNZWMmM4frwP2dmyi/ppTsyapYHXCxQUKMHjkaO7Gzd24MknM/G//xvdO95s9qC4WIlTp/oGJdtP2SwH92t0OhEWLEiCWEzA5wN6e114//0mOBw+lJXpw24/0nz11aVnL8FcuGBBT4+TYYkdikLBHNDIyZFh5sy4Ae0eODg4Li9cwBlBzp7th0pFfqRpaWLs3NmDXbvILKapyYaJE2PpcV+nM3zPhI1z56yDNrHavLkDP/pRCoRCAkqlICzAsN3+ttt0tHXz9cDevb247740nDw5OCfJkpJYjB2rwmuv1SElRYJRoxRIShJh587uge/MwcExonABZwTZurUTjz6qx6lTfcjPVyA9XYo1a5rg9wONjXYUFcUiPV0Cu91LB6KBGKhMJhQSWLw4CYmJIvh8wIQJCjz33DlWU7VQGhrs152Mi8vlQ0wMu5YP1cfJy5Nh5UoDBAJAqxXh5Zdr0NfnQV9fP0aNkkOhGLxeGwcHx8jB80cS9QIQFxfHqRwOgzvu0KG4WIV//KMehYUqbNvWBafThxkzyEEBr9ePQ4eMg1IsXrYsGfv29dKmaVIpgVtuSURSkpgeGti0qZ3eml+1ynDVlaMvN889l42uLhet4EDR1ubAt98GFj0BXHOSPxwc33d6e3sjXiZzGc5l4Isv2lBTY8WPf5yKv/61GrfemoSvvw70Mvh8HkaNkmPy5IBBGI9HHow8HmhZG4LgQSwm8Pvf5+HoUTMyMyWoqLBg27YuNDTYWZ/b4fBBLCZYS2jz5ydE7X1cL+zc2YXz5620hE00uGDDwXHtwGU4lxG1WoCnnsrG66/XobBQCafTR8vcTJ2qxurVtfD5Am6Vb7xBWjpTX/P5yP9RfjLBvjKR0OlEKC3V4qOPWhhf12iE+H//Lx+PPXZqhN8lBwcHRwAuw7lKGI0evPBCBX772zzs3NkJmUwAj8cPl8sPi8XL2PL3ejHg1n9Dgw25uTJUVloj3qatzYm4OHLZUiAAfvKTNKhUApjNXnz7bTdSU8WcaCUHB8dVgQs4V4AXX7yAX/4yB6dOmaFWC9DdPTw9r6+/7kBZmQGVldGzHI0mBk88YYDXC3z6aQu9OCoUEnjggfSoEv8cHBwclwsu4FwhTp7sQ2KiCC0tDqSnS8K+f/SoCTNmxLEqD5w/348JE1Q4frxvUMudra0OfPhhM2w2ZsbkcvkgFg/iATg4ODguA9eIV+T3n6+/7kROjhwEQcrfhLp0HjxoxNixKtb77trVjSlT4gAMzt1z/XpSoYBCpxOhvNyAJ54wMHTLODg4OK4kXIZzBWlvd0Kvl6C3142sLNnAd7iIzwcIhWRmcuJEHyZPVuPgQWPE23d1uaDVCvHIIxmQSAj09rrxj3+QNszLliXTPjscHBwcVxIu4FxBSOkZAl6vf1ClsWCqq60YN06JvXt7UV5uiBhw7rwzBYmJQowdq8BTT50NGx1et66d6+NwcHBcFbiAcwXp7XUhJUWMuLgY2Gzh0jYHDvRizhwtq+zKxo0dePrpLJw8aQ4rq5WWajB2rBJ+P2nc1tTkwMMPp8PjYZ960+kiWwZwcHBwXC64gHMF2by5A488okd/vwcymQBSKcFo7B871ofyckNEnS+73QuxmIDXC+Tny3DzzYnw+fw4dMiEV15hTq5t2tSBJUt09D7OokVJyMiQwONBmNkbBwcHx5WACzhXEJPJA6vVi/Z2JwAeSku1YZL9kYYCCIIMOPfem4odOzpw991peOGFCxGfq63NifHjVYiPJ7OZLVs6aUOzJUt0MBikqKuzjcj74uDg4BgMXMC5Cni95OhyQYEy7HuUFEuw0Rp5Hz+2bevEzTcn4sIFGzo72Xd5dDoRli5NBo9HLn6GZj4AsH59G8rKDMOyaubg4OAYLlzAuYoEDw4QBHDLLQnQ6YT4y18KUF1tZTVaozKg4ExIKCRwzz2pUCoF6Ox04rXXyIm0Rx9l97sRCgkkJ3N9HA4OjisLF3CuMJRJmtcLNDfbUV5uAAD4/aQo5aZNnSgvj5x99Pd7ERtLet0sWJCA7Gw53G4/PvywKcySYMuWgN8NQZATbPHxQjidfvT2XkbXNQ4ODg4WuIBzhTl82IipU+Nw4oQJmzZ1wOMJ10eNtty5bl0rFi9Oxs6dHbjhhnisXh3ZNbShwY6nn85EWhppJb12bRu9f3PXXSnQ6UTXnR8OBwfH9QsXcK4wx4/34aab4uFy+ZGTI8P580OzPTaZPJDJ+Dh/3oY5c9gj05QpahQXxwIALBYvo4+Tny9HYqIIPT0OLFiQiLfeahz2e+Hg4OAYClzAuQqYzV7o9dKL02rhAee773pRWqqJ6ArKlgEVFiowd248fD4/jh/vo03Yysr0GDNGDq1WBAC4cMGCigryOVetCh9a4ODg4LhccAHnKqHVii4GnHCOHiX3cdgCTmmpBidPmgGQ/aBVqwzg83kwGKT46U/PhBmObdnSjjlz4vHuu01RXw9BkOPSX3zRNrw3xMHBwTEAXMC5SgxV2oaisFBJZy9vv10PgJxCy8mRYcGCpLCptvp6ByQS9h9zQ4Od9tfx+YCkJPHwXhQHBwfHIODUoq8CPt/QtdTY8HgCI89VVVZkZITbHkRj40Yy+6GIYv7KwcHBcclcUwFHLCYwebL6ar+My05bmwNKpQBWqwdKJXv2QfnjhNLT40JiIvsODZ/Pg1AY/iP1ePysX/f5yPsAZA9o/Hgl6+04ODg4RoJr6nRJTZVgzJjvfyO7rs4KgiAznexsdpuCSP44GzZ0YP78JNb7fPppK5Ys0YV9/auv2sO+np8vx8qVBpSUKFFeboBOJ8GLL17AbbclDuMdcXBwcAzMNdXDGTtWiV27uq72y7js1NRYIZUKoFDEIDlZhGPH+lhvxzaNZrF4IJHwWW/f2uqARhOe/bS2OpCTI0VZmZ7OaOrqrHjjjTo0NCSgttZGT64tXMj1cTg4OC4P11TASUuT/CCmpGw2H126io8XRbxd6MTZUFCrBVi6NBlCIRmckpJE+J//qQqTudm8uRNlZQY64HBwcHBcLq6ZgKPTiWAy/XDkVvwXO/S9vW4kJbGPSJ84YWJ194zW3M/OlmLVKgPMZg/k8hi8/HINAOCRRzJAEAQAZhQj+zjMxybLfcN7XxwcHByRuGZ6OMuXp+G99344W+88Hg88HtDUZEdOjpz1Nvv3G1FUFDukx62pseHVV+uwZk0TXK5A1Ni8uQOLF7P3foKDy86dXbjlloQhPScHBwfHYLgmAs60aWqcOWO+2i/jilFaqsH58+ZhjyEPNFJN9X7On+/HxInk4EFzsyNi+a662oqCAgUAoKLCgsxM9kEGDg4OjkvhGgk4mjAjsu8zhYVKNDY60NXlhNfrQ2xs5MpmaFDS6UTo7mb3wgGAb77pxG23kZnMzp3dmDIlfLQ6lK1bOzFrlnZwL56Dg4NjmFz1gDNnjhZ797Jrhn2fIAiguDgWS5cmo7g4FhUV/aivt4EgeEhMjDwZxg8ZSCst1Uad5KuqsiI1NbAAGjzpRlkjRILHA0aNkiMzUxpVsZqDg4NjOFz1Y2XUKAUOHDAOfMPrGKVSgIcfzkBioggnT5pw9Ggfli5NRlaWDDweD729blaVALbmvVotREdH5AwnFK8X9ETctm2djB0eMsAocPvtOpSUKLFypQHZ2TJ88kkrFixg7/dwcHBwDJerPqX2fZdTSUkR45570vD5562oqSEXPlNTJfj1r89hwYIE9PZ60NnpRFqaFA0NdsZ9Fy3S4euvOxhfs9lIA7ZoE33Bk2YffdSEe+5JxbvvNqK+3o7770+Dz+dHeroUANDYaMPJk33o6nLC5/Nj/34y+FPGcBwcHBwjxVUPOD7f9y/iFBWpMGlSHAQC0orgj3+sor/n8wHd3U4kJQkZQYNtECAlRYyKin4olQI4HD4UFCggkxFYujQZb78deaJv+/ZO3HJLAjZt6oRAQCA1VYTHHtODxwOkUj5qamzYuLGDEexra2144gkD9u83QqEQQKOJGZHPgoODg4PiqgccghgBFcsR4K67UvDRRy2Mr5WWalBba6VdMilWrTLQis0UixcnISdHDpvNi1On+vDmm3VhS5YU+/b1orBQhcpKC8aOVaGnh71EZja7LwYvNWJieKistGLNmmbce29axPchlRIoKorFbbclQa+XwWRyASDw5psN8Hr9KCvT48KFftbMMiaGwJw5WlitXnR0uCAUEozRag4ODo5L4aoHnGslw0lMDB8Z3rWrB089lRlm4yyXC6BWC2A0BiKKyeTGG2/Uo79/4OXVgweNWLEiAzt3duPmmxMjTp19/HErHnggHf/8Zz3j68HZkFhMYNEiHbRaUtLG6fTiq6/aoVYL8dprZFD8n/8ZTS+a7tjRhVtvTcTGjYFSnUAArFhhQF6eHG+91QCz2YPWVjsWLkzE559//5UfODg4rgxXPeBcK3z+eStrlhPMPfekQqsV4sgREyPYAIjozsmG1+tHVZUFEyfGwmx2w+32we32ITVVgubmQB/H5fJBICCji0olwJgxSuh0IkyaFAu/n+yxOJ1ebN7cidZWZhYmFvOwapUBPh+we3c37ZVTVWXFvHmBxc7ly1MRHy/C22834IsvCCxYkIgPP2xBc7MDixZxumocHBwjx1UPOJSY5JVEKCQglRKMHkpzs4M1y1m7tg1//vNoNDTY8fnnbWEH+3AxGt3Iy5Ojvd0BguAhJoZARkYg4BAEMGaMEikpYqxYkQG324f6ehuOHDGht9cNk8mN48fZRT8B4JtvuqDTSbB1K7nftGpVYAiAzwfuvDMF6ekSfPxxM10yNJvBKv7JwcHBMRJc9YDjcvmg04nQ1sZut3y5nnPlSn1YqSzYATP4aw0NdrzySl3ow1wSp06ZsWxZCrZs6URMDA8ajQgaTQwIggeZjI+MDCkaG+3g8YCPP26G2eyl79vR4cRPfpIaNeCcPt2P0lIttm4l/01OpomxaJEO48ersHp1DT75JDybCx7D/r5PEHJwcFxZrvoezltvNWDFCv1lXzRMTWWWh3w+f9hzrl3bhltvDfeD6e11Q6eLrOo8HDwePzo67Jg8ORY/+lEyRo9WACD11VpbHXjrrQZ8/XUH3nyzgVECAwCHw4eYmKF9YA0NdjzyiB7vvNOI8vJTuOEGdr00aqQaAPbs6cbNN5O3IwhSgZqDg4NjuFz1gAMA//u/NXj22ezL9vgTJ6owYUIs42sffdSCe+9ND7stWyD68MNmLF2aPCKvJT1dglmzNFi0KAlxcUKcOmWG2ezBnj09uHDBgt27e3DqlBleL5le1NXZkJw8vF6Kw+GDVErQKgd/+MMF2GxeuFw+OJ3skjp79nTjxhvJIMPn83D77TqsWmXAY48ZIJFwAYeDg2P4XBMniMnkwY4dXVi2LBmffto64o9/7FhfmFZYV5cLanX4rsknn7TgJz9JxfvvN9Nf8/kGFsyMREqKGJmZMqhUAqSnS9HV5URHhxPnz/dj/fp2AIBEwofbTQYBjUYYNibNZhUwmHHyDRva8OSTWZBI+Pjb36rhdgdqZG++WYdVq7Jo+wKKM2f6sWxZCrKyZKio6Mdjj50cxrvm4ODgCOeaCDgAcPRoH8aMUWL0aAXOnesf8cd3On2QywWwWAKDAocO9WLmTA327AlMmHV0sAeivXt7cdNNCXQTPhKJiSIUFioRHy+EWi1Ed7cLbW0O1NRYw5YtKbZv70JOjhwCAYGCAkXYxJvV6mUNRAPR0eFCQYESzz9/PkyZwOMB+vvdiI8XoquL+bj/8R8VQ3oeDg4OjsFwzQQcAFizpgmPPqrH3LlaeL2BHR2C4MFodGHfvh50dLgGtYwYE8NDVpYMcXFCEAQPjY02PPNMFiNgeL3AjBnqsMdTKmMwfXoceDwevb8CkGUpm83L+BrvYuojkxHQ62Xo7/egp8eFs2fNOH2afcEylL4+D6RSPvh8Huvt//3vRvz2t3nYs6cHjY12xMXFIC9PioceSsdnn7XCbGbf/RGLCRw7ZkRdnY31++++24jy8vAlVg4ODo7LwTUVcACELTlSJCYKMXWqBnFxMRCJ+AMujDocXnR1uWA2u+H3+9HX58Hp0+FTXWz7M3v39oQFG4Bcmow0xt3Z6cK33/bA6RzeZj6PBzQ32xEbK0R2tgzV1YFJOZ8P+P3vLyA3VwabzYPmZjuKi9X45JNW/O53uWhvd8Lh8OGDD5oYmYzL5YPdHvlzupRSIQcHB8dQueYCTiQ6OlxYu/b7u/Xe0GCHz+eHXM6HVCpmBByK4HFtn88Pi8WD7du70dBgQ3W1BWIx88c5mIBSW2sbUhlz7Fg50tKk2Lhx+P5F8fFC3HZbEsRi0nvh0KFeHD0aecSbg4Pj+8F1E3C+79TX21BaqoHT6YNIREAg4MHjGbge19pqR3KyGBUVFkZ/isLh8Ib1roLZuLEDTzxhiBhwSkrUKCmJBUCORsfGCobcS5owQYUpU+LA4wHZ2XIcPtyLTz9tjfiaAHI5d/HiJMTHi0AQQG6uHE8+eXpIz8vBwXFtwQWcawgej4eDB3sxZ44GJSVqfPddb8Tbejw+iMUEmprsGDtWFfF2n33WimXLkvHuu5HVpYMrh2lpYtx2mw7p6WI0Njpw+nQf2tsdSEoSw+cDvvmmmw5AAzF6tBw33piAs2f78frrZJ+ovNyADz8MXzglCNKOgdqXcrn82LSpHc3NpArCE09wdgkcHNc7XMC5hjh1qg+jRyvgdvshkURfkWptdSA9XYLKSiuUyshWAmazB3I5P+L3AVJ37Xe/y0VvrxttbQ688UYdHnwwHR9/TGYhoQKmM2dqBvV+qqttUCiMOHgwYLDX3e1CcrIYra0OzJmjxahRChAEOcCxdWsHa9lUKiXgdHKyBxwc1ztcwLmG6O11o7BQiYMHjZg/PxEZGZIwUzaKujob5s7VIj5eBD4/+mHs9Ya7h86dq72obgAcOGDChAkqxrTap5+24s47k/HOO41QqWIYhmyxsTGs49ShuFw+2m0UIBdweTxg1apMNDfbceBAL61oHY1ly1Lx6afNA96Og4Pj2oYLONcYHo8fHo8fJpMbBoMsYsBpbLTB59Ni375eFBQooz7mhg1t+NGPUmC1emAwSMHjAfv39zICzIQJzLKc2exBUpIYAgE5IReMWExg+fI0vPVWQ8TnVKsFmDlTi+nT1Rg3TgWXy4uqKis+/rgFH38cWZGbDZmMCFPn5uDguP7gAs41xpEjJhQXx+LwYRPuuisFu3Z1s+7m2Gy+QSttNzU58OyzsfjHPxoYPjjBdHe7wkRU//d/a/HMM9nYvbuHLovddFMCsrNlcDi8jPtPmKDC9OlxAMhMqq/PjQMHeqHRCPHZZ62D8gkKJjFRiIULdRCLCcTGcu6jHBzfB7iAc43hdPogFvPR3+9Ba6sDEyfG4uhRE+tth2JeV11tQ0WFJeL3P/20BStWGOjmPgBYLB786U/VuPnmBLqktm9fD7Zu7URamhhlZXrExPDg8wEVFf2sC6Tp6TYUFCijDkAAQHKyCDfemAiFgg+fD+jtdeH995swbVocTCb3oN8nBwfHtQsXcK5BzGY3FAoBDh82Yf78RNaAk5UlRVvb4L159u/vxdy5WuzY0c36fY+H9MlhY8uWwM7Ngw+mY/p0DTo6HHj77fqINtoUHR1OZGZKw74eHy/EvHnxUKuFEIkIaLUx+NOfqsMkeHJy5HjjjfroT8LBwXFdwAWca5Djx/swc6YGu3f3QCIhIJPxYbUyS1hLlyZj40ZS/HMwQp7HjvVh1SpDxIADAG63H0IhEVU6SCbjD0kK5/z5fsyerYVeL8WECUrodBIAQGamBH/6UzU6OsjBg/JyQ1iwAUiJIg4Oju8H14Q9AQcTvz+gELBlSyfmzw/36HG7/SgsVGHlSgPUagHKyvQoK9MjLW34ttBr17Zi6VJd1NucPGlGSYl60I/p9wOJiTEoLdXgyBETXnutDq+9VofaWjsdbCKRkSEZUhbHwcFxbcNlONcozc0OpKZKUFtrw8KFSYzv3XxzAnbv7h6yHExNjRUFBQqcOcOuKtDR4RrQYnrPnh6sWmXA4cPGqLcLZscOUq+OsrJmey179nSHqXHfeGMC3nkn8iQcBwfH9QWX4Vyj1NRYkZ0tAwC89x5TJSA/Xz4s7bGvv+7E7NnagW84AkyZokZ5uQGrVhkwc6YmrI+zZUsnw6Po9Ol+5ObKGLcRiwlWLyAODo7rEy7DuQ4I7W0EG6mNNN9914vSUg2rijaF2eyBWi1g7Mbk5Mgwb14CXQo8ccLEWOoMXhyNRHBwEf//9s47PKoyfcN3JpPJZDLpPaRNukiRoiLSVBYE1iyK4ioIoq5IDIYsxbK2CxuCLiCIgiI2LCCKIBZ+CCKIICQIQYSENBLSe5lMJlN+fxxzksMkoYiu4ndfl38wc+bMZGLOc77vfd/n0aowm4W7gEBwMSEE5w/M3r3VDg4Bfn4a3N2dufJKH378se6c4xBqalod5m06kp4uNRd0JzgffXSK++4z0NRklWeBCgqMrFyZ1+WKpLHRgre3S7ctzna75IjQo4eWtLRYnnkm6+x/MIFA8IdHCM4fGJPJ8epdVWXmpZdysVrP7+5//fpi7r47UjFvczpdiUbH4c7Kyhbee6/ojG3RbRQUGLn0Ug+++659HqetjlNVZWbcuGC8vJxJS4shP99IQYHxnF2pBQLBHxshOH9CzjfkDSR/M/UZfuvFxSZiYnTk5BgZNy4Ig0Gqvxw92vlw59lQXGzi0ksl7zY/Pw3/+Ecwnp5q+vf3JC+vmXffLVQIbEqKcIcWCC42hOD8BWlpsaPVqjpdQWm1Kry8XHj00Xj2769j27byLu1wzoXs7CYeeCCasDA3qqvNrFvXdR7O8OF+7NnT9ZaeQCD4cyIE5y/I+vVF3HprmNz95u2t5vbbw1CpnDCb7axfX4SHh/NZOTmfC3v31vB//1dBeXnn9aM2evf2PO+VlEAg+OMiBOcvSE2NhYgIrbxt1dRkRat15r//zZGPMZu7XgWdLydPNpOQoD+j4AgEgosTITh/UYxGq2IVMWZMoGIQ85NPirn55lDefffC5NB4e6u5/HJvVCo7u3Z1vl3m4aFm+HA/ysqEIAkEFyNCcP6ibNpUSlJSMJs2SX5sX3xRTkqKQRacigrzr4oFkCKjg4mP19PYaKW52cobbxQwaVK4fIy7uzO9e3vi4iLNH9fXtxIRoePVV8V2mkBwMSIE5y+GWg233hqGj48LPj5qWXCg63bos2X06ED69PGgudmG1QrbtpUTGuqmqAVVV5u54YYg6uosGI1WMjLqFGahQ4f6CXcBwZ8Kb281Hh5qLr/ch/T02i5DEwVCcP4SeHurufnmHhgMOoqKTGzcWExJScsZp/9LSkyEh2sVHmgdGTrUjyuu8KK5WZoJ2rWrkpgYd4XA/O1vytcUFZl+OdZxW02jUf2mLgoCwW+B0WjjmWfiWLAgmzvuiOCll3JpbLQweLAPe/acvefgXwEhOBcxY8YEEhPjTlOTlQ8+OMWUKeGKgc+aGjMBARoqKqQBy/T0WoYM8WX3bmk489NPS7j77ig5j2bAAC9GjPClpUVaDaWn19LcbFcIzNCh3Xu15eY2MWSIn8PjGo2KyZPD2Lix+Nf+2ALBBaMt4dZuB4NBS05OMyqVE/X1rXz6aSmNjRbMZhsLF55g9Oggmposcru/SuXEzJkGiotNbNhQ8j/+Sf4YCMG5iDEYpNVG2xbV3r3VXHONPzt2SJk4mzeXMXFiKG+8IbVH79tXQ3KyQRacSy7x4MorvXF2llZCP/1UT0sLimaDAQO8u/0M+/YpvdlOnTIREKBBq1XRt68XXl4uREfrsNnsXHqpp/xZBIL/NXffHcHx4400N1vx9FTz5ptFHD0q1TgDAjRMnBiKu7szublGtmwpo7nZgl7fnmK4e3c1u3dXM3JkADNnSn9DarWKxYtzOn2/vwJCcC5ivvqqjKSkEDZulO6uMjLqSE42yILT2GhBq23/A4mPd2fgQG+5XTorq4kDB+oUK5jevT0V72G1KkPbvv22ktGjA+WU0PR06T1/+KGGvn290OvVREVpSUuL4YcfaqmoaGH79gosFvtZGXwKBL8HqanR7NpVRUFBMzExepYuzVU8X1Fhlm+OBgzwYt68ON58M4+xYx3zpLZtq2DbtgpUKrj//vb/x++4Ixy9Xs2RI/Vddm5ebAjBuYjJyTEyZoxjeFsbMTE6Bg6UQtycnCS/s4yMWsUKRqcLwWDQkZdnBOCbb5SCsmVLKf/4RzDr10tbYUeONDBsmD9OTnDppZ4EBbnSv78eszmcnJwmampa2bJFEpiOf2RDh/p1GqUtEJwrY8YEYjC4U1lpZt26U+f82pEjA3jhhROywa23d/eXyfT0OnJymnj++Us5caKxy+PmzYvltdfah631enW3noYXI0Jw/kKEhmq55BI9yckGVCqpgP/dd9WsX19Mfb2079y/v5di2+2zz5R1nCNHGhR1mqIiEwEBrgCEhLgSF6fH11fDjBkG8vMlA8709EaFV1pkpBsDBypTQ/v2Fe4CgnNnxAg/EhI8UKmccHKS2vF37ariiy/KiY935513+rF3by02G9hsdlQqJ3x81BQVmThwoFbeIrvlllAiInR8800FOTlGqqraXc1bW9uHoKdNi8Dd3Rm1WsWpU83yjVZtrYX77z/Ef//bW7Hi12pVLF3ah2+/raCy0sxdd0XQ1GTF3d2ZF1888ft/Yf9jhOBc5FRVmeWtqspKM3Pn/qRwD/D2VnPjjaGyzc3p224WC7i4OCnO2ZZ54+vrQs+ensTF6UhJMVBZaaawsJkVK3Kprm7/g9XrnenTx4sffpA6dgoKmvn734M7PadAcLbodCoGDvThhRccL9w9e3qQlBTMq68WEBHhxvvvt6900tJi2LSphCuv9GX4cH9iYnR89FGxLB45OU3ccUcYq1dLfxNvv13I1KkRrFyZj17vzLJl0o1R//7S7kDbKsVigXnzfmLOnFiefVaK1ggJ0fLhh0X4+7vQr583Tz993CHf6q+EEJyLnI5/aJ1RW2vB3d1Z8ZjqtBzYtqYDDw81vXt7oterSU420NBg4eRJI0uX5pKf3/XsQUODFQ8P5XsUF5vkrbru8nkEgq6YMyeOZ5897vB4UlIwHh5qFizIBqB/f2VtMDOznrg4D3lbGGDWrBj27pVuiGprLej17ZfGxkYLOp30/29WVhODBvmwd28NGRl12O3wz3/24IMPpL8zk8nG2rWFPPxwHM8/n01enlHejv7ooxL+9a8onJ2deP31AnkVpFbDnXdGUlfXKovexYoQHEGX6HSSE4Cvr5rHHovj1KkWcnKMfPppCcePd71XfTqHD9dxxx3hfP11pfxYZaWZsDA38vKMjB8fymuvie00gRKtVsWtt4ah0zljs7XPZ6lUTvTp48FTT2U55DFNnhxGaWmLYqC5sdGqSKjdtq2CWbNi2L+/fUbGYrEptsIyMuoUczRbtpRy000hfPxxCQ89FMcPP9Rgs8HBg3UMG6Zs8y8oaOaVV/KYPTuWkhITH31UjMlkw2aDlSvz8fRUc889kbi6OjFggA9Hj9azYkXeX2LlIwRHQGOjFBnd2GilTx8vmputpKVF09BgJTfXyPff1+Dvr+HDD8/v7stksuHiosLJSUr1BGnbou0P1dmZsw5yE1zc+PioueWWMDSadufyjlHmALfd1oNXX82nuFg5kHzPPZEcOlSvEBKAtWuLHEIHa2paCQrSUFYmzaC9/XYhd94ZwapV+YBUB0pNjWbPnhouv9yHq6/2JTBQw8cfl7ByZR733WeQuzfz840MGOBFenqdfP7aWguLFp0gJMSVyZPDcXFRyaKpUjlht0NTk4377jvUZUzHxYgQHAEbN5bwxBMJZGU1kZfXREZGHZmZ9Vgs7XeVvzYQrbDQSGKinp9/llZGxcUm/P01qNVgtf6qUwv+hKhUkJYWi9Eo/fJtNjt9+njwww91vP32yS5dysPDteh0zhw6VK94fNKkMDIzlWKj1aq48cYQ/Pw0REXpUKvbb2zeeeckM2dGy+3O9fXt22ZtREW58eCDsaSn17FkSQ4jRwZw+eU+7N9fQ1FRszxfdvRoA3ffHcGIEQG8+eZJRVJtSUkLr79e8Ku/r4sFITgC6ustzJnzk7z66IySkhaionTk5xvP6z1KS1sIDXWTBaftnPfdZ2DDhnNrXRX8+Zk6NYI33shXrF7Gjw+hpsbcbSTG5MnhfPRRMdOmRShmyPz9Nej1avr398Zms+PiIq2QPv20mLIyM3q9mpSUGJYskYYu27rWOorQ1q3l3HxzKL6+GtzcVKxZU8CwYQFs21YBKLfiNm0qZeLEHowdG8jnn5dTUdHK4sUnmDcvjvffLxJ+al0gBEcA0K3YgOSrFhXldt6Cc/hwPVOmhPP11+2PlZW1cPXVvpSUmLt+oeCixN3dWRYbT0819fUWNm4s4a67IqiqMnPkSAMxMTqGDfPHzc0Zu10asCwsbCY+Xs/69V0nxnZGY6OFhoZWvL3Vcq3knXcKueuuKFatysdg0DFqVCD9+3uSnJwpn/vaa5VzbHV1rfj5aaiqkmZ8Zsww4OOj5rvvqrjiCh8WLMjmsccSWLUqT96uE7QjBEdwVmRm1nPLLaF88835TUS3tNhQq51Qqdq73nJzmxw65AQXP5GRbjQ1te+jTp4cLtdD3njjJNOmRTB0qD9FRc2ysAwa5E1NjZkPPjhFXJw7JpNSbCZO7EFgoIaEBD1Hj0qraB8fF8xmKw0N0nsNGOCFXu+CyWRFo4GKilYGDPDi3/+OoajIxJIlOdxwQzBRUW6KXKiOXWj5+UZ69vSQh5b37q3mssu82bWrkvvuM7B3bw1PPXWcBx+MZf/+GrZv7/rvZfhwP665xp/GRiv799fI9k8XM0JwBGdFQ4OFkpLOXaPPltLSFkaM8MdstuPkJHm1NTeLAs5fjX/9K4KTJ1uYMcOAszNkZNQqnl+z5iRarYphw/yZMiUcu12aq1m4UJptufHGUBYuzJaPv+YafxoaWvnyyzImTAhlzRppfuaeeyJ5440C+QYnJcUgDxdPnx7F//1fBUeP1jFwoK/sSLB5cymzZsXIglNQ0Mxdd7nLNcySEqURp7Q6a8VikY5NS4vBYrFhMtmYOLEHl17qid0u3Vw5O6uIjHQDpGFST09n3nmnkJwcI6mp0UJwBIKOfPFF+ZkPOg0vLzV9+nihUkFiop7s7EbKyszY7WCz2fj660ri4/VkZZ19m7Xgz4tOpyI01I0nnzyOxSK5hI8Y4ccDDxjw8JBal+12MJut9OihZf58SWQ8PaUBZYvFxieftHdLqlQwcKA3ixadYOrUCMVzzs5OXWYrqVROVFWZqaoyc911ym2z5mYr117rR8+ekm/ggQP1bN5c2tlp2LmzirS0GNLT6xyOmT49irVri2hstJCYqKe11aY4JjnZQE6OtEVdXGyif38vMjLquJgRgiO44Oj1zrKLdGurXW6HPnSolszMRgoLpYLq7t1VDB7sS2ioqxCcvwAGg45//rMH//nPMZ5/vhe5uU34+2uw22H+/OM88ki8wih2xoz2zsj6egt+fhpMJivZ2U3y48nJBl5/PR+QttA6zrKoVO32FRqNStGMoNW2Tze3Gc42NVno188LtVoSqrO1WiotNZGYqOfYMeX/w2vWnOShh+KYP/+4w3MA339fLfsSrl9fzL33RmEy2WS7nYsRITiCC47JZJO3B7y8pIJwV00JP/1Uzz/+EQJc/NsJf2WuvdafhAQPnntO2go7fryR48cb2LOnmnvuiQKkVuWpUyNkm6XTCQ/XMnv2EfnfvXp5UF5ulpsPLBblckbd4epmNtvw8mqPTN+0qYSJE3uwbt2pX9qeL2XdumLZtqYNnU4aPnVzc8bFxYlly3IdVk3vv3+Khx+O5bnnlBY7ZrONNWsKeOihODIz66ivt3LJJR7k5xvZurWcgwfrFKK6alU+M2cahOAIBOdCx/mdurruO4nq6iyYTKKOczEzdWoElZUtisHLEycaiYzUsXNnldyeXFhowtOz6yaSrKwm+WKvVkNSUojsWdbWOdaREyea6NvXU57ZOXWqWV6J5OQYSUpqjxL47rsaysoke6VevTwYMcKfoCAN+fnNbNhQTG2tBU9PtWJ2JyTElYkTe2Cz2SktNZOSInWsVVVZKC42sXFjCYWFJhYsyGbhwp588MEpXn89n/HjQ+jXz4uDB+sUDgoTJoQo7HYuRlRnPkQg+G1Zt+7i9o/6q6LRqFi6tBc//ljDli1liufMZqlrEaROr2HDJAfyjo4TubmSYLRhMkkWNQAPP5zASy+1Z9TU1Jjx9GxfwYBUcxwxot3Z/IMPTnHDDe2msQcO1DJypD/33htFcLArjz2WQEqKgfBwN5Yvz6OyspXVq0/K23T19RbS02uZMcPAjBkGRozwZ+nSXJYty2PNmpMsX55HeXkrK1bkUVVlZtw4qTZ0zz2RLFp0goyMOmw2+PjjEq67LgBQbvtFRbmTldW+XdiRqVMjuPxyn06f+zMhVjgCgeCC07OnB+PHSyuQCRN6cOiQcpvIaLTi5iatZg4dqmfGDAPbt1diNlvlKICvvionLS1GXqG89dZJHnwwDpPJxquv5inmcGw2qUngTHz/vZTAabXa6dXLAzc3FStWFNDYaPmlHtRuqpmba+T666WI6T17qsnIqJNTPLuizZR2164qpk2LYOZMAy0tdjnGvY3MzHqF+J1umNuGXq9m/vwEPvmk2MGy58+IEByBQHBBmTAhBL3eRd7uam62EhqqVXifHTnSwC239JD/3RZP8cUX5YwfHyLPvVRVmWU3cZsNuQYEKGa6AFxdVYrBToCdOytYvrw3P/3UXrTv3duD7OxGFi9Wpni++24hU6aEy1Y0mzeXsnDhJcyb9/NZ/+wHD9ZyxRU+5OUZ5fbszvjqq3LGjAlk8GBf3nmngMZGG/n5TdxzTwQqlQpnZyeCgzW4uDiRl2fk4MGLo3tNCI5AILggqFQwe3Ys335bxb597bMqa9acZO7cWBYtai+qm802amtb5ZqK8y+lm+JiE8HBWvm4t98uZNasdksakFqk77vPwJ49VYrVxtKlOaSmxlBf38qaNSeJj9dz/fXBHD/e6JCsmZYW4/D56+uVsQQA+fmOs2cqlZRQ2zZj09GU1skJXF3PLtzpiy/K2bWrmgULevLTT01YrXZ++qmOfftqsFikDryOXXsXA0JwBALBr8Zg0DF5cjjLluV0arN//HgD118fwJdfVsiPGY0WAgNdOXaskS+/lFY2GzeWUF/fqmgCMJtt6HQqjEYpcVOvd+a//812cBi32WDx4hz8/DQ8//yl5Oc3sWBBNnffHSHb57Tx1VflJCUFK2IMAHburGTMmEB55sxisXPddX4kJCjFZd++6i7F4IknEtBqVQQFuTJ0qB9btpQ6OF630dho4Ysvyhk1KojU1EzFc3a74yruz46TvRsTLV9f3zM4bAkEgr8648YFERKi7dIVecyYQBITPQBJENro3duD0aMDeeEF6bGZMw0sW5aHWg333dfuCqDVqnjmmUsoKWnhvfeKHGIJHN8vAF9fV9auLZJf35bY2ZG0tBjF52lj1qwY8vONREXpsFpt7NlTrYge6Ir4eHfGjQsmL6/pF8FsJS+vichInULY4uKk41pabCQkuPPll2WYzXYaGqyKOk1AgIapUyM6TTT9I1NdXd3lEk+scAQCwXnTs6cH7u7OnYqNTqciJSWG77+vZvHiHG66KYT4+PZOrMzMBsaODZZbl9uC0oKCtCQk6OXzmEw2Tp1qJiurkfHjQxTv4eWl5q23CikuNqFWw913R9Gzp152KGh7vUbjeA3MympUtE3rdCqmTo0kMdGdI0fqFdt4Z6JvX08GDfJ1ELCgIA39+3srHrv++kD53H37euLrq+HgwVrGjQtWCE5FhZkNG4p57LEEXnwxG6Pxz7/UEW3RAoHgvLnuOv9O29qvucaf5ORolizJkY0ud+6s4q67IhXH1dS0EhIi1Wz2769h2bI+xMfreeONk4weHSgft3ZtEZde6sWKFXmK/557LpuxY4N45plE7r8/mg8/LOLBB49y882hivfJzZVMNzuyZUsZ114bQFycO2lpMUydGslbbxVw332H6d3bk+6IidHJg6UhIa5ce22AwwoKoKzMTHOzlUGD2luam5ra27t//rmR6GjdL3M+7W3dOp10ac7LM/L889nccUdEt5/nz4JY4QgEgvPm9PA8tRpSU2M5dKhOsRV0+eU+DBvmx4kTTYp6yrvvnuShh+JRq50IDtZy4ECdvP2UmhotD0KWlZnlduWOjB8fgpeXC42NVnkgE3BY0WzZUuYwxT9qVCC9e3tQWdnisDIxmaS6UXS0O1de6YNGoxxILSpqloc+o6PdmTHjkPycp6eaESP8ycpq5MSJRlpbbUybFk5OThMVFWbefbdIThc1m23yuTt+5smTI9iwoZiqKjNjxwZSVvbrjHP/KAjBEQgE54UUXtZe5h0yxJchQ/xYvlw5I3PTTSFoNCpefPEEGo2K++83yBd4o9FGeXkLffp48uyz2SQm6uXmgbaZlrw8yeBy584Kpk0LZ82aQq67zo+rr/bjk09K2LixhEmTwhSt101NVodGAZXKCbUapkyJwNPT5ZdIgcPcc49y1QXw1lsFvPRSbz74oJh33inqVOwGDvTmmWey8PBQM29eHB9/XMwNN4RQW2tm+/ZKkpMNZGc38cUXpezYUcGTT17CAw9kMnFiKF9/7egokJcnrcKOHm1g1ap8pk2LQKNRkZ/fRGio23n+lv5YiC01gUBwXowc6c/u3VXo9WrmzIlFp1OzYEG2QmxSUgxccYUPO3ZI3Wlms41Dh+qYMKG9FmOzIWfWHDvWKFv4r19fTFJSMCEhrsydG8uECT0IC3Nj9uxYbDYnKitbycyUVizvv1/ETTe1n3PdumImTmyf8wkK0hAQoGHp0j58+mkpS5bkkJ5e98sKw/EyaDTaOHKkkW3bKjoVm+RkA8uX52I226iqMmMyWend25MXXzzB6tUnycszUlBgZNWqfAoLTVRXW6ipMZOaGk1paYvsEt27twfV1ZKlzqZNpYwZ0+5cvWbNSVauzOerryrkIdk/O0JwBALBeaFSOTNrVjR33x3BkiUn2Lq1/a5dq1Xx6KMJfPppCQ89dJTp0w3yNP327ZU0NFhlQdi1q5KEBHf5tSdONNGrlweJiXrCw7WMGhXEokUnqKgw89RTWbz44gl27KhUTOfbbO3DoyC1G7u5qRg0yIdZs2IYPTqIxx8/RlZWo4Pn2ubNJQoBbGPr1nJSU6Px9FRuBPXr50VZmYmKCjPDh/sxaJAPBw/WOaThOjlJQtfGokU5uLur2batAh8fNbNnx3LVVb4EBrrKx2RlNSosbDQaFSNHBlBX19rVr+FPhRAcgUBwXlx/fSD79tWQnl6rmIkxGHS8/HJfFi7MprBQ2uJatiyHtLRY+ZitW8upqGhh0qQwMjMbKC1tkZ87edLIvfdG0bOnB3PmHJXdoxsaWuViO0gR5eHh7UOihw/Xc+WV0sX6n//sgb+/Bjc3Z5YsyeHttwux2dqdCzqSk2MkLMxxy6q11UZEhBvR0e4MH+7H1Vf7otWquOeeCHbvlnJw3N2d2btXSuts84NrY9myPMaNC2bWLGnItLHRwptvniQlxcBNN4WyePEJVq0qoLLSTHy8JLibN5dyzTXt51mwoCd1dRa5xfvPjpjDEQgE58zMmQY++aSEoiIT8+bFyQmcw4f7kZjogUrlpJju12hUPP30Jcyb95PiPIMH+3D55T4UF5toarIQH+9BRISW3FwjH39copi5OX0+R6WS/t02gKnXq3n55d78+GM9H39cTEFBs8PnVqng/vsNDjEEY8cGUljYTGZmA2PGBJKQ4EFhoRGTyUZZmYkDB+pQq5247bYwhg71Qa/XcO+9Pyq2D++6K4LNm0sdfNN69vRg4EBv3n67sMvvs+N3GBnpxvDh/rz9dqHicUCucTU1WaisNPP++6e6POf/CjGHIxAILhj//GcP9u6tpahIEoP33itk2rQIzGYb9fUWVq7MV+S8hIVpueuuSB5/3NGTbM+eGm64IQibTQpC+/xzaVtOpYKJE3sQECAFtLm6OrN9ewVqdfumjGTY2T5IaTRaOXiwjuXLcx1cCJSvcdzY2bq1nFdf7UtmZgPfflulSLd98skERo8Ooq6uldzcJu699zCDBvkwdKiv4rg33zzJf/6TwOeflyoGRY8ebSAoyJU5c2JZu7aQkpIWTuerr8q46aYQPv64hIKCZtzd1fj5afjwwyI5I2j4cD+io91ZsEASoOnTozr/If/AiBWOQCA4a6691h93d7VDnPK8ebGkp9fy9deVACQlBXPsWAM+PhquuMLbYUUBkuW+j4/LL8FqPzk8fzozZhjYtq2c3r09+fjjEoYP9+P220M5fLiBl1/OB6RcnH/8I5g33ujaONNg0HH55T6sW3eKyEg3Obr62LEG9uypwWiUGhgCA13p1csDvV7Njh2VNDQoVWzOnFheeinXoalg1KhAevaUVkgbNkiecjqdin/8I4SxYwOZNu1gp4KYlhbDK6/kycmkbf5z06dH4efnQmZmg+J7T0kxnHUq6e9JdyscUcMRCARnRWKiHoNB5yA2AC+8cIKkpHa7/U2bSrn/fgORkToHsTEYdDzySDxbt5axZEkOKpV08eyscH862dlNDBvmR1paDK2tNubO/Znm5vYLflWVYy7O6eTlGenVy4O0tBiuusqXJUtyWL48j6+/ruSKK6Qa0BVX+BAaqmX79ko2bSp1EBuAFSty+fe/HU1At24tZ8mSHA4frmfWLAMvvdSH224LY/v2CmbOzGTKlM6HOF95JU+xMjxwoJZrrvFn5cp8LBYU33tqanSnvweQ2tANBl2338H/CiE4AoHgjLQlbK5e7bhy8PPT8PjjiXz0UbEi4+Xpp7NITNTj59feqaVSweTJ4Tz7bBYlJS0YDDp27qxm+fI8DhyoJSXFwMyZBjm8rI2QEFcGDfJi9mzJ/2zx4hz27Kmhvt6CWq3Cw6O9OnDkSP0Zw8oOHKjliy/K5BgEkMwybTY7gwf7Ulxs4scfu/dPMxptbNhQzKOPJhAcrGHSpDCSkw0kJkq2PNnZTSxZksfhw3V89lkpZWVm6ustNDd3nnBrMtnIyzPKoXM7dlQycKA3AHv2VDFqlOS8MGZMILt3VznUqAICNDz6aAJHjzb8Etv+x0MIjkAgOCMWC4ridRv9+nlx550RPPnkMXbtqiYqqr3bq6LCzPz5x7nrLumOXq2G//wngWXL2qf6R40K5LPPpG2ngoJmli/PY9myPPLyjKSmGli+vDepqdFcd13AL9tXVocL7eHDdVx/fSD+/pKwbdtWweDB3QvOpk2lCuucNmw2O+XlJoqKHBsOOiM7u4kVK3KYNy+OL78sZ8WKPAYO9Gb4cD/5mNdfL2Dy5Ihfzk+3hf6NG0sYOrT9te++W8js2TH06eNFjx5SR15Dg8XBTDQgQMP06Qaefvo4x441YrH8MX3XRNOAQCA4L665xo/Bg3155pl2ITIaJZ+wjnb8R47UM39+IiUlLSxfrowvcHZ2cqhnDBniS79+Xlit8MwzWXKRfcAAL3x8XOnXz4uDB+tkF4K9e2uw22HMmCDWrpXan2tqWomJ0ZGTY2TIEF8uu8wLZ2cnXn65vaHAarX/4pYg/fvqq33JyzNy6tS52cgEBGjZsaNKnu95990iZswwsHNnlXxMcXEzjz8ez48/1jtEInTkhhuC5WYMgJKSFtzcnFm8OEeOKegscXTKlAiefvo4IDV1fPppicMxfwSE4AgEgnMmMtKNSy7xpKiohWuv9Wf7dqlZYM2akzzySIJ88QMpaCw21t0hBK0joaFapk+PoLbWwv79tZ02GQwc6MN//5sjW8ZccomeiAg3du6sYt++GkJCXImJcSc7u4m33y7k7rsjGD3aGU9PZxYsOIFer+Y//0mgsbGV5mY7arUTo0cH8vnn5Vx3XQCZmfWUlTl2kHXGpElhcq0oIEDDrl2ViudtNmW/1d69NTQ2Wjl+vIHU1GgAdu2qIiNDWqmMGxfEwIFeeHlpeOSRo/Lr+vf34vDh+jNm4rS0tG/T+ftr5PmnPxpCcAQCwTmh0aiYMiWCp56SRGX8+BDZ/8xmg3feOdlpB9XpYWKJiTri4tyZOdNAZaWZRYtOMGdOvMMdvK+vmptvDqOpyUJjo4X//jebJ55I5MMPT3H11X7k5DRRVGSiurqV+Hg92dlS/MHq1Se56ioftFrJFqax0UJTk2Ty2baqcXNTMXSoH7t3V8ndYWeDXq+WBXTIEN8u6zJtBAa6UlXVQlZWE1lZksnoqFGBzJxpQKVyYteuKlatqmXUqACmTo0gNFRDWVkrTU1WefD19PdPSHAnPb2OsDBlfPeZxEmthvnze/L22yc5dqyx+4MvMKKGIxAIzgmdToWzs5PsQbZxYwl1da1MnSrVKQoKmsnIqOWWW9ojAj75pIRbb5WsbIYM8SU1NfqXldAxli3L4/33T9HYaOOTT4oZO1aqrcTHuzN3biwpKdEcP97Au+9K0/YWi1TH6NHDjT59PBg1KgCA776rRqt1JjnZwI03hhAUpOFvfwtUGIz+9FO9YguvudnGt9+eWWz69/di3rw4OZJApWrv/NXp1IpOuc644gpv9uypUTy2dWs5y5blsXRpLseONZCSEs2GDaWsXJlPcbGZVavyOhUbAJvNhl6vJjnZwNy5sXz3Xfv2XTeTLoC0/bZoURbTp0cxeXJY9wdfYITgCASCc6K21sKCBVk88ki83IG2Y0clmZl1zJwptfXu2VNDa6udkSMlMWhqsjB0qB+pqdHYbHaWLs1l795aqqqUBZxDh+oJD9dxww3BTJgQyqJFJ5g/P4t+/bzlY5KSgtm2rYKvvy4nL68ZtdqZmBgdVqudDRuKWbEij5Mnm3n44TieffY4KhWy71rHQc2zJTFRz6BBvqxYkSfb83z2WQnTp0cxfXoUSUnBcsNCZ1x6qTtRUe6MGhWIt7dyUykpKZhnnklk8uQIFi1qNz7dvLmUm27q0dnpAKlDbufOKlasyCMvr5mysnZ3A622+8u6h4caq1WqranV8PzzPc/4HVwohOAIBIJzxmSy8eSTx/jXvyKJiZFmPjIy6vjsszIefjgOkFY+SUnBPP/8JSQlhTJr1hGWLs11uNM/nZUr8xkxwpeTJ9s7xerqWgkP16LTqYiJcScjo47774/m1VfzWbUqnwcfjJNDywBGjPDnueeysVjghx9q5Pma8+Gmm0JZsUKKXDh0qJ65c2MpLDSxcmU+K1fmk5FRi6urE1dd5YO/v5qgIA3e3moMBh19+nhy7bWBLF+eS1FRMzfeGMqMGQbZX23TplJOnjSxalW+opmiuNhEYGDXItYRJycUredbtpQyaVLXK5fPPy9j0qRw3nrrJG++WYSnp1r+Hf7WiBqOQCA4bxYsyCY52cD+/bXs319DXp6R/ftrWbduIAcO1LJwYTZjxwaTn9+kmMg3GHSKukNHhgzxpaTETGxsu4P0mjUneeyxBJqbrbz0Ui59+3pSWNhMY6OFxx5L4Jlnspg3L55ly3JJTY3m3XcL5bv+8HAdgwf7sndv90LXGSoVtLTYiInRkZQUQm1tKz/8UCPb0ADo9c5ERrqjVjsRG+tOS4udnJwmrrjCh/h4d5qbLQwb5s9bb50kK6uB228PJzzcXbamCQzUdGpTExPj7vAYSDNJEyaEsm1bhZyWOnduDI8++jMWC2RlNTFyZKBDt2Ab2dlNZGdL9SdvbzUHD9YzdmxQp40aFxphbSMQCH41kyaFER6upanJyuHD9ezcWSVbs4BkidOnjxfNzVa2bCll3LhgVq/O79TiJTU1GicnJ5qbrXz0UbHcbvy3vwUQEKDhvfdOMW5cEFu2lHHXXRF8+mkpVVVmkpKC6N3bk5deymPwYF9OnZJWCVlZTbi5SemdbQmi58LgwT4EBmrZuLG91XjGDIPcNDB9epRDvLRGo+K66wL44osyQDLwnDo1gsJCIx9+eMrB4LMzOjtvR266KYTSUhN79tSg06m4885I2cj0dKPTzvDxUZOaGsv8+cdITY1xSD09X4R5p0Ag+E1Zu7aItLQYxV3y999XM3JkANu2VbB9eyXbt1ei0ai44YYg4uPdOxUbrVaF3W6nsdHC6tUnefzxBObPl7rh+vXzlodPt2wpQ6tV4e/vKgvSyJEBPPHEMRoaLOzeXYWbmzNHjtTL527rXjtXzrQFeDoqFYweHciWLe3zNkePNlBQYJQFoSsSE/VcfbUvGo0zBkP3KZ9tKyyQajod84EsFmnGqSsiI924/fYwnnzy2C/nKlas2n4rhOAIBIILwqZNJUyc2IN166RJ+t27q5kzJ5ZvvqmQxcVstrFhQwlBQdpOz3HXXZGYzXY+/LAYgJdeyuGJJ+IpKDCxfbuUGhof786YMUHYbHaWLJHuyidMCGH16gJuuy2cLVtKKShopqmp+1blC4edq6/2BcDJyQm12omvvip3aE/WaJzw9FTj7AwqlQo3NxXXXReIh4fUtp2YqGfTpjI50rqjr9rZ0Nqq3JAqKWlRxG63oderueOO9kHRnj09mDAhVOEA8VshBEcgEFwQcnKMJCUpPbxWrcrn2Wd7Mm9e+zBjV/Wb+Hh3mpqs+Pq6yN1atbUWPvqomMsu82LwYF8uv9yHoqJmli7NVbw2PFzHhg0lHDrU8Bv8ZBKpqdEcO9ZIdLQ7vXt7cOed4TQ3W4mPd2flyoJuXxsWpsXXV0NSUjB2u+RycNVVPjz55DG5zjJjhkGRmtrSYkWnU2E0nt18UEVFC2FhWtmpoKTERHCwq8N3PWeOtI3WxtixQfJM1W+NEByBQHDB2LmzktGjA+VaSX29hcrKVlJSDNhs0nZTQIDG4QIn5d+EkZ/fJK9k2hg7NliuBXVFx8HL3r09sFqlbaxfg16vxsUFamosTJkSjtlspbCwma++Kmf4cD/UaieOHGkgLOzMHV433BDCk08eU6x6fHw0nRb12zh4sI4BA3zYtauqy2M6cuRIPX36eMqC07OnB6+9lq84ZtasGJYuPSF/jvh4d37++bcT6dMRbdECgeCCkZFRR8+eHorHGhosLF+ex4oVeSxfnkdrq01Rv1Gr4bXX+mG12igtbeHQofa6y5Ahvhw86OjafHpXl0rlxDXX+DNrVgzh4W5cfrkPgwadfys0gIsLjBsXzIwZBrKyGnnllQJZxL7/vobYWD1lZS3U1prlgdDuOH2L7fTXFBU1K9qTDx1y/C67Iyuriejo9s42Ly8Xh/c0m20KkRs7NpgtW6TGBp1OxYIFl571+50PYoUjEAguKPv2VTNqVKC8PeR0Wu2647yJwaBj2rQI3nijgO++czSlHDTIlxdecFzddJz0v/Zaf6Ki3Dh4sFau6QwZ4svdd0dQUGDsNGHzTOh0KmpqLLK7wemYzTZcXKTP0NpqR6tVK+Kmz4biYpNsRArw9dfl3HprGDk5kruAlE7adeG/M1xcVOh0KmbPjmPVqu4bFAYP9uHUKWnWycdHzaxZsVRUnPt3dS4IwREIBBeUPXtqmDs3lm+/rcRkUnZPGQw6ectn3LggevRw4/HHjzmc47LLPBk+3B9PT2dSU6NpbrZx4oRUP3FxUREerpWL6keP1vPgg1KNyNNTTUpKNLt2VfGvfx3ixRcvJSfHKM8JnQ2zZsVgt9vJymrs1pmgTQzMZhtubioau7ElO93ME2DDhhLmzImlqKiZigozRqNN9n07X157rYAXX+zF7NlHuq39hIS4MmCAlMQaF+fOhAmhPPHEMVJToxU3CxcaITgCgeCCs3RpLg89FMdnn5UqHANGjQpk9ep8Zs2K4eDBWlatypefU6slny9PTxfq6szYbHYef1yq9eh0KuLi9OzeXe0Q6dyGRqPi3/+WCuI2G4wdG8imTaWKmICOJCUFYzDocHKCXr28+Prrcnx9Xdi1q5L09DoeeSSe6upWMjPrFBfvIUN8GTTIly+/lLai3NycmDw5TD6mLTahI0FBnQ93NjRYmDo1nBdekFZmp68Gi4tNxMe7k5V1di3djY0WMjM7r8lotSr0eumSf/fdUTz99HH69vVk2rQIZs06Aki/t5QUA/v3dz40+msRgiMQCC44ZrONZctymDQpXDF86ORkJyUlhrVrCx2GH728XCguNskX16goN+bNi2XhwhMYjTZFbaczHnggmgULsrDZpLiDqCj3Ludebr01lIAAjdztNnu21L6dlBQim30uWJDFoEE+3HFHBHq9GrNZakxIT69VbPMFBLgpwulmz47udmDzdDq2P9vtSlftjRtLSEuLISvr7FuW3323kIULe3L8eBN797av7ObMiWPhwmymT4/irbcK0OvVjBoV6CBmublNDB8eQHp6De7uampqzAqvtl+DcBoQCAR/WHx81Nx3n1S0z8ioo6LCxB13RMorAZUKvvqqjGuuCSQ7u5EdO6Rcmo4Do22o1dIqaOzYIPr39+Y///lZdlbu188Lb28XduyoJC0thszMeo4da1CEobXRu7cHgwf7oVI54e7uzHvvFVFcbKJnTw/Gjg2iqqoFlcqp0zjuzujoWhAZ6caVV/rKs0wAycmGMw6MdmT06EDMZhs7dlQye3YsixefYN68OD788BQREW7o9Wq2bCnjoYfieOGFbO691/H8vXt7YDC4YzLZuOYafx5++GgX7+aIcBoQCAR/SmpqLDz3XDbh4Vr69PEiOjoYk8nKa68V0L+/F4WFzQwb5kdxcbMsNvfcE8nrryvnYp555hI0GhUtLTaysho5cKBWFhtPTzW33RZKZqa0glq8OIf+/b0YPNgPf3+NfDHWalU88EAMR47UOaxgxo8Pwc1NJa98OhvaDA/XcsMN0pzS4cN1cu5Px/pOQUEzSUlK006r9ezv++++O4LycrPclr57dwWvvNKHuXOP4uKiYuBAH1588QRJScHs2FH5iyMBxMW5K5wYMjMb5K25wEANfn4a2dHh1yAERyAQ/OEpLDTJKZazZsUwcWIPmputjB4dyDvvFOLs7ETfvp4cOlSPm5tKHnaU7Pd7sXlzCd98017L6VhPmTYtgoce+pnwcDc5ljojo46MjDr69fMiJcWA1SoJw/LlOZ0W4yMjtSxdmkdMjI4xY4KIitLJotO2GqusNMviNWVKONXVrZ3OCllPM0jo2JHXFWo1PPRQAmvXFsr1I71ezdixIRw92kh9vWRy+tRTx9HrJSfrtqjrZcvymDQpjLFjA9FonDCZ7Iq2dVdXFdOnR8mC89pr+WcMeevyc57fywQCgeB/w1tvFdCrlxe7dlWxeXMpjz2WwKJF2Xh6uhAfr6OlRVoR3HxzCEOH+vP224Wkp9d2eT53dxX33Wegrq6VnTuVUdEHD9Z1OgfUkchIN3x9NaSkGCgqMnVrmDllSjh6vRqVCv75zx48/vgxIiKUNj+nVzk663A7nYcfTmDx4hy5NVtqUjDw1FPHuP/+aO65J5K335a2+ObNi+XYMaXQNTdbCQzUExCgITn5sIPPnSRSbl02JJwtQnAEAsGfipoai2L6/vnns3nooTjmzz/O/Pnx/N//VXLffVEEB2tJTc08i/NZeeWVPPz8NFx3XQAREW589VXZWV1c4+PduemmUJ544uysYXx8XORGhbYVUEODlcceS+DVV/OoqDCflcC0odWqmDs3jtWrC2SxCQvTMm9eHGvXFmGxwE8/NfD3vwehUjmh0Tjh5qYiMVHP9OlR8urpyy/L+PjjEvr39+LGG0NZv75Yfo+YGB0TJ/Zg//5arrsukKysBj7//PzapoXgCASCPw233daD998/pXjMbLaxcmUezz3XkwEDvPDz07JpU6mi5bo76utb5RpFW7F+/PgQhg/373K1EhSk4V//MnDkSD0LFmR3ekxnlJS00Lu3B42NVqKjdb9c9OGpp44zc6aB48cd25+72lLr18+LiRN7sGdPlcIvbcKEUB54IJMZMwzs21fDtm0VbNtWgVpNpw7dHcnIqGPoUD/0+vZB1ttu68G331bz7bdVbNtWQXLyuZmKdkQIjkAg+NOwdWsFDz8cx3PPSRf5vn09GTbMD5Birs+2m6q42ERaWgwmkw1fXw1paTF8+mmp3EK8cWOJQ+H/ttt64O2twckJYmPdWbfu1BlD3VQqGDrUDz8/DZ99Vsa6daeYNy8OFxcn5s79CWivJy1blsfIkQFcfbWPoimhsxXPpElh2Gx2Hn74KKmp0Yrn2lyjnU+bIe1KbFQqSEz0kOtJL7+cy/PPX8rXX1cQF6eXa1nffiutKs+lieF0hOAIBII/DVVVZt57r4hZs2Koq2ulpqb1vJIqt2wpJShIQ0mJVAjX6VT07+/NU08l8thjjs4HEyf24MCBWkUn14wZhm4F55ZbQomI0LFjRwX5+UaSkw0cP97AwoXZPP54fKev2batgssu8+LJJxN59tkshyHXkBBXkpOj+fDDIo4ckQTi558bufJKH/btqyEoSENdXSsgNSl0tiI8HYNBxzPP9GTXrjZnCDvbtlWQk9PE1q3lWCyQktLu0XaudjsdEYIjEAj+VBQUNLNtWzkajRMZGd0Pg3aFzYYsNiAFmO3eXU1UlI6AAA0VFWZaWqxotSpMJhtFRUbCwtxkwQkJcaWlpfO8nX79vBg5MoDNm0sVtZAlS3KYNi3il3buzuO1oc3sNJcHHojGaLQyYIAXEEVYmBa7HWpqWmSxAdi6tZy5c2PJz29iwoQesofaBx+0C41er8Zms2E02vD2VnP77eFkZNSyd28NOTlGbrxxHwA33BAM2BSWPsOG+XHqVPvn7WZ084wIwREIBH86Ol5wLxQxMTqCgrRUVJgZPz7klxbnQD75pJQ9e2qYPDmM5GQDdjuYzdZOBzvHjAkkMFCriFPo1cuD2Fg9n31Wwpo1J5k0KYy33up+KNRksskzPW1R0yqVtLq4665Ih+MXLTrB7NmxXSapTpkSLs8m1dZaWLEijyFDfJkzJ5bSUhPZ2U1ERuqw2+2sX9+eVDpggDfR0e68804hIDUknEtTw+kIwREIBAKkbbPnnsvm3nujSE+vwdfXhZEjA/jkE+kC3JVzdBszZhg4dKhWsTpoG8Q8eLCWtLRY0tNrWbu2+/N0hc0m1XO6aiIwm628/HIu994b5dAwYbeD7bThmSNH6hk2zJ/i4macnODHH2sVNjeXXKKnb19P3n+/SK7bTJkSwbPPZp3X5wchOAKBQIBOp6KsrAWNRsWhQ3UcOlRHUlIwTz999hdXtVpyygZppZOY6IFe7yyvhBYtOsHUqeE8+miCIgagLWK6jTMNena1wrDb4fDhBoYM8T/tfBAcLDVGLFrU7sk2Y4ZB9p7rjIQEDzIy6mhulg64994oeZbnfBGCIxAI/vIYjTYCAjSYzTZOnWrm0UcTWbToxDll3Bw+XE9ysgGVCvbsqeaLL8odWohLS1vYt6+GY8fasww6c5E+V/z8NNTWtjo8rlLBo49KQ6G33x4uP96zpwdHjjR06xjwww81/P3vQQwe7EtQkIb09LpOveXOBSE4AoFAAKxdW0RqajQ1Na08+aRjp9qZ2LmzqssohDZcXVU0NSlFzNNTTUyMDpXKCWdnJ/z9Xejd2wMXFxUajYqAAKW3WmcroMGDffn+e8mbLT+/iUGDfNi7t4Z//zuWJUtyqK+34O7evpIaMyaIF1/sPra7uNjEqlUFxMW5M3JkoGyF82sQgiMQCARAUZFJdgH4rdDpnBVebFde6UN9fSuJiR7YbHZsNvDyUhMQ4IrZbKO11X5WRfrQUC2bN0uC8Pnn5dx2Ww8GDvRm+/YK6ustTJzYg48/ljrmRo0KIDJSiuH++ecGXF1VREa60bevlyxK339fTXp6HT4+am6+OVSee/q1CMERCASC3wk3N2eHFc6PP9azb1/7PE9UlI7t29s93S67zEtx/OkhbeA4G3P67E1EhBvr1p1i7NhArFZ44IFMhgzxZcKEUMxmK0VFJjZsKKa+XvpsyckGDh2qIy0tttNE1vNFCI5AIBD8Bmi1KodZHY1Gmuv5NbS0WNHpVPJKSaNRKbbLTmfSpDDWr5cEyMvLhdxcyU169+5qOSKhIzqd9LnvvdfAwoXdb7udK6ozHyIQCASCc8Vms51VtMC58vnnZSQlhZCYqCclxcD99xt4+eWutwI9PV0oKJBivt9//xReXi4sXNiTceOCOj3eaLSh0TgzcKAX8OvE8XTECkcgEAh+A8xmqcCfnGyQ51guu8yTsDDtr+r2MpmsXHGFF/X1rd1GIbRxuqdaTU0r33xTSWFhM6mp0Vitdux2Gz/8UC97yb3ySh6rV6u4557Ic0obPRNCcAQCgeA34vRkUIDJk8Pw8XHBbLYTFORKfn4TJpOV1lY7FosNf3+paw0kwfLyUnPllT7y68ePD+Ghh445+KydTpuYODnZZU+1yEg3Rozwk50QMjMb8PRUc+ed4bLYtHGm858PQnAEAoHgd6SjY4G3t5pLLtHj66vB2dkJFxcnDh+uJzHRA/svpmUeHsrL9GeflZ5RDG65JZTPPislJ0eq1/Tt60lysoGaGrPCdgekxNNXXsknKEjDVVf5YbPZaWmx4emppndvzwvxI8sIwREIBIL/EbW1Fr7/vrbbY8LDdYoutrMhNFTL+vVGefvu0KF6Dh2qJzxcy9//HkRNTSvffSc1DFitdu6/30BpqYndu6tQq1W4uqqor7dQV2ehVy+PC+ZdJ5oGBAKB4A/M+cQBmM3S6ujGG0Pkx+Li3Ln55h4MHuyrEDBPTzU7d1by/vunKCw0kZdn5NixRoqLTWzfXs7gwX6//of4BbHCEQgEgj8oPXt6YLGcuztzZKSWoUP98PZ24cEH42hosKBSweLFOUyfHqU45yuv5HHjjaFkZNQB4OOjJizMDa1WTa9eHvTooenqbc4ZITgCgUDwByImRsfIkYFAm71M/lm/9rbbehAY6Monn5Ris8GyZbnU1ioHTVUqKXQtL0+q79TUWNBqnRk+3I+oKHfc3Z05dqwBk8nK+vXFTJkS3tlbnRdO9m7SdHx9fX9F1I5AIBAIfi/8/DQEBGgUxqAguVh3zMi57DIvbrkllP/852fFcVde6cOpU80OLdvnWsOprq7ucg9QCI5AIBBcpERGunHjjaEsWZKjeLxfPy9CQlz5/PPyLl55/nQnOKJpQCAQCC5Sbr65h4PYABw8WEdkpPvv/nlEDUcgEAguUl55pWvLG2dnGDTIhyNHGpgxIwqTycrx401s3XrhVz1tiC01gUAg+Ity7bX+GAw63nmnCLPZRmpq9K+OaBA1HIFAIBCckSuv9KFXLz2rVxee9zlEDUcgEAgEZ2TfvhqamqxMnBj6m5xfCI5AIBD8xQkL05KSYsDbW01Tk43164t/k/cRgiMQCAR/cYqKTKxaVcCECaEUFhrpptLyqxA1HIFAIBBcMEQNRyAQCAT/c4TgCAQCgeB3QQiOQCAQCH4XhOAIBAKB4HdBCI5AIBAIfheE4AgEAoHgd0EIjkAgEAh+F7qdwxEIBAKB4EIhVjgCgUAg+F0QgiMQCASC3wUhOAKBQCD4XRCCIxAIBILfBSE4AoFAIPhdEIIjEAgEgt+F/wczrnIDd1l6xQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a network from multiple places\n",
    "places = ['Piedmont, California, USA', \n",
    "          'Berkeley, California, USA',\n",
    "          'Emeryville, California, USA']\n",
    "\n",
    "# use retain_all if you want to keep all disconnected subgraphs (e.g. when your places aren't adjacent)\n",
    "G = ox.graph_from_place(places, network_type='drive', retain_all=True)\n",
    "fig, ax = ox.plot_graph(G, node_size=0, edge_color='#FFFF5C', edge_linewidth=0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# or create a network from structured place queries\n",
    "places = [{'city':'Daly City', 'state':'California'}, \n",
    "         {'city':'South San Francisco', 'state':'California'}]\n",
    "G = ox.graph_from_place(places, network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the network for the borough of manhattan\n",
    "G = ox.graph_from_place('Manhattan, New York, New York, USA', network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the network for the financial district neighborhood in downtown LA\n",
    "place = 'Financial District, Los Angeles, California, USA'\n",
    "G = ox.graph_from_place(place, network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 4s, sys: 864 ms, total: 1min 4s\n",
      "Wall time: 1min 5s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# get the network for all of LA\n",
    "# takes a couple minutes to do all the downloading and processing\n",
    "place = 'Los Angeles, California, USA'\n",
    "G = ox.graph_from_place(place, network_type='drive', simplify=False, retain_all=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a network constrained to the shape of hong kong island\n",
    "G = ox.graph_from_place('Hong Kong Island', network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python (ox)",
   "language": "python",
   "name": "ox"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
